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gal_pt_mBERT

Token Classification
Transformers
PyTorch
Galician
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bert
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gal_pt_mBERT
File size: 2,864 Bytes 
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{
  "_name_or_path": "liaad/srl-en_mbert-base",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "r0:arg0",
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    "12": "r13:arg1",
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    "14": "r1:arg0",
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    "28": "r4:arg2",
    "29": "r4:root",
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    "32": "r5:arg2",
    "33": "r5:root",
    "34": "r6:arg0",
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    "36": "r6:arg2",
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    "38": "r7:arg0",
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    "40": "r7:arg2",
    "41": "r7:root",
    "42": "r8:arg0",
    "43": "r8:arg1",
    "44": "r8:arg2",
    "45": "r8:root",
    "46": "r9:arg0",
    "47": "r9:arg1",
    "48": "r9:arg2",
    "49": "r9:root"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
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  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.27.4",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}