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kolj4
/
few_nerd

Token Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
1
few_nerd
File size: 1,307 Bytes 
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{
  "_name_or_path": "distilbert-base-uncased",
  "activation": "gelu",
  "architectures": [
    "DistilBertForTokenClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "O",
    "1": "B-art",
    "2": "I-art",
    "3": "B-building",
    "4": "I-building",
    "5": "B-event",
    "6": "I-event",
    "7": "B-location",
    "8": "I-location",
    "9": "B-organization",
    "10": "I-organization",
    "11": "B-other",
    "12": "I-other",
    "13": "B-person",
    "14": "I-person",
    "15": "B-product",
    "16": "I-product"
  },
  "initializer_range": 0.02,
  "label2id": {
    "B-art": 1,
    "B-building": 3,
    "B-event": 5,
    "B-location": 7,
    "B-organization": 9,
    "B-other": 11,
    "B-person": 13,
    "B-product": 15,
    "I-art": 2,
    "I-building": 4,
    "I-event": 6,
    "I-location": 8,
    "I-organization": 10,
    "I-other": 12,
    "I-person": 14,
    "I-product": 16,
    "O": 0
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "pad_token_id": 0,
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.27.3",
  "vocab_size": 30522
}