Upload folder using huggingface_hub

README.md

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+---
+library_name: keras-hub
+---
+This is a [`Electra` model](https://keras.io/api/keras_hub/models/electra) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
+Model config:
+* **name:** electra_backbone
+* **trainable:** True
+* **vocab_size:** 30522
+* **num_layers:** 24
+* **num_heads:** 16
+* **hidden_dim:** 1024
+* **embedding_dim:** 1024
+* **intermediate_dim:** 4096
+* **dropout:** 0.1
+* **max_sequence_length:** 512
+* **num_segments:** 2
+
+This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.

config.json

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+{
+    "module": "keras_nlp.models.electra.electra_backbone",
+    "class_name": "ElectraBackbone",
+    "config": {
+        "name": "electra_backbone",
+        "trainable": true,
+        "vocab_size": 30522,
+        "num_layers": 24,
+        "num_heads": 16,
+        "hidden_dim": 1024,
+        "embedding_dim": 1024,
+        "intermediate_dim": 4096,
+        "dropout": 0.1,
+        "max_sequence_length": 512,
+        "num_segments": 2
+    },
+    "registered_name": "keras_nlp>ElectraBackbone",
+    "assets": [],
+    "weights": "model.weights.h5"
+}

metadata.json

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+{
+    "keras_version": "3.0.2",
+    "keras_nlp_version": "0.9.0",
+    "parameter_count": 335141888,
+    "date_saved": "2024-03-24@02:12:40"
+}

model.weights.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e718d4250cdc3bb5fd5470c7b0a50ab13cbcfd38bbcd9dae8c6717a3cc1b76cc
+size 1341357696

tokenizer.json

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+{
+    "module": "keras_nlp.models.electra.electra_tokenizer",
+    "class_name": "ElectraTokenizer",
+    "config": {
+        "name": "electra_tokenizer",
+        "trainable": true,
+        "dtype": "int32",
+        "vocabulary": null,
+        "sequence_length": null,
+        "lowercase": true,
+        "strip_accents": false,
+        "split": true,
+        "suffix_indicator": "##",
+        "oov_token": "[UNK]"
+    },
+    "registered_name": "keras_nlp>ElectraTokenizer",
+    "assets": [
+        "assets/tokenizer/vocabulary.txt"
+    ],
+    "weights": null
+}