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codeswitch-spaeng-ner-lince

Token Classification Transformers PyTorch JAX Safetensors
Spanish English multilingual bert codeswitching spanish-english ner Inference Endpoints
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codeswitch-spaeng-ner-lince
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{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "directionality": "bidi",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-EVENT",
    "1": "B-GROUP",
    "2": "B-LOC",
    "3": "B-ORG",
    "4": "B-OTHER",
    "5": "B-PER",
    "6": "B-PROD",
    "7": "B-TIME",
    "8": "B-TITLE",
    "9": "I-EVENT",
    "10": "I-GROUP",
    "11": "I-LOC",
    "12": "I-ORG",
    "13": "I-OTHER",
    "14": "I-PER",
    "15": "I-PROD",
    "16": "I-TIME",
    "17": "I-TITLE",
    "18": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-EVENT": 0,
    "B-GROUP": 1,
    "B-LOC": 2,
    "B-ORG": 3,
    "B-OTHER": 4,
    "B-PER": 5,
    "B-PROD": 6,
    "B-TIME": 7,
    "B-TITLE": 8,
    "I-EVENT": 9,
    "I-GROUP": 10,
    "I-LOC": 11,
    "I-ORG": 12,
    "I-OTHER": 13,
    "I-PER": 14,
    "I-PROD": 15,
    "I-TIME": 16,
    "I-TITLE": 17,
    "O": 18
  },
  "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",
  "type_vocab_size": 2,
  "vocab_size": 119547
}