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muril_large_multiconer22_bn

Token Classification
Transformers
PyTorch
bert
Inference Endpoints
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muril_large_multiconer22_bn
File size: 1,159 Bytes 
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{
  "_name_or_path": "google/muril-large-cased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "embedding_size": 1024,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "O",
    "1": "B-CW",
    "2": "B-PROD",
    "3": "B-PER",
    "4": "I-PER",
    "5": "I-PROD",
    "6": "B-LOC",
    "7": "B-CORP",
    "8": "I-CORP",
    "9": "B-GRP",
    "10": "I-GRP",
    "11": "I-CW",
    "12": "I-LOC"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-CORP": 7,
    "B-CW": 1,
    "B-GRP": 9,
    "B-LOC": 6,
    "B-PER": 3,
    "B-PROD": 2,
    "I-CORP": 8,
    "I-CW": 11,
    "I-GRP": 10,
    "I-LOC": 12,
    "I-PER": 4,
    "I-PROD": 5,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.18.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 197285
}