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bert-abbrev-cased

Token Classification
Transformers
PyTorch
bert
Inference Endpoints
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bert-abbrev-cased
File size: 985 Bytes 
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{
  "_name_or_path": "/lus/theta-fs0/projects/SolarWindowsADSP/shu/models/best_models/bert-base-cased/",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "finetuning_task": "ner",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-long",
    "1": "B-short",
    "2": "I-long",
    "3": "I-short",
    "4": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-long": 0,
    "B-short": 1,
    "I-long": 2,
    "I-short": 3,
    "O": 4
  },
  "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": "4.18.0.dev0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}