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Kashob
/
SciBERTNER

Token Classification
Transformers
PyTorch
English
bert
Inference Endpoints
Model card Files Community
SciBERTNER
File size: 1,248 Bytes 
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{
  "_name_or_path": "Kashob/SciBERTNER",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-Generic",
    "1": "B-Material",
    "2": "B-Method",
    "3": "B-Metric",
    "4": "B-OtherScientificTerm",
    "5": "B-Task",
    "6": "I-Generic",
    "7": "I-Material",
    "8": "I-Method",
    "9": "I-Metric",
    "10": "I-OtherScientificTerm",
    "11": "I-Task",
    "12": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-Generic": 0,
    "B-Material": 1,
    "B-Method": 2,
    "B-Metric": 3,
    "B-OtherScientificTerm": 4,
    "B-Task": 5,
    "I-Generic": 6,
    "I-Material": 7,
    "I-Method": 8,
    "I-Metric": 9,
    "I-OtherScientificTerm": 10,
    "I-Task": 11,
    "O": 12
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.32.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 31090
}