File size: 68,328 Bytes
e465bb8 476b639 e465bb8 476b639 e465bb8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 |
{
"metadata": {
"total_size": 11356365064
},
"weight_map": {
"tf_esm_for_masked_lm_1/esm/contact_head/regression/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/contact_head/regression/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/embeddings/word_embeddings/embeddings:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/emb_layer_norm_after/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/emb_layer_norm_after/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._0/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._1/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._10/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._11/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._12/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._13/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._14/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._15/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._16/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._17/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._18/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._19/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._2/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._20/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._21/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._22/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._23/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._24/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._25/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._26/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._27/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._28/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._29/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._3/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._30/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/LayerNorm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/output/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._31/output/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/LayerNorm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/LayerNorm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/output/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/output/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/self/key/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/self/key/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/self/query/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/self/query/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/self/value/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/attention/self/value/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/intermediate/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/intermediate/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/output/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._32/output/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/LayerNorm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/LayerNorm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/output/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/output/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/self/key/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/self/key/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/self/query/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/self/query/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/self/value/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/attention/self/value/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/intermediate/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/intermediate/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/output/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._33/output/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/LayerNorm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/LayerNorm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/output/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/output/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/self/key/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/self/key/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/self/query/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/self/query/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/self/value/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/attention/self/value/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/intermediate/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/intermediate/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/output/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._34/output/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/LayerNorm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/LayerNorm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/LayerNorm/gamma:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/output/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/output/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/self/key/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/self/key/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/self/query/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/self/query/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/self/value/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/attention/self/value/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/intermediate/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/intermediate/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/output/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._35/output/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._4/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._5/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._6/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._7/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._8/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/LayerNorm/beta:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/LayerNorm/gamma:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/self/key/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/self/key/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/self/query/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/self/query/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/self/rotary_embeddings/inv_freq:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/self/value/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/attention/self/value/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/intermediate/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/intermediate/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/output/dense/bias:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/esm/encoder/layer_._9/output/dense/kernel:0": "tf_model-00001-of-00002.h5",
"tf_esm_for_masked_lm_1/lm_head/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/lm_head/decoder/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/lm_head/dense/bias:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/lm_head/dense/kernel:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/lm_head/layer_norm/beta:0": "tf_model-00002-of-00002.h5",
"tf_esm_for_masked_lm_1/lm_head/layer_norm/gamma:0": "tf_model-00002-of-00002.h5"
}
}
|