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Gujarati_NER

Token Classification
Transformers
Safetensors
Gujarati
bert
Inference Endpoints
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Gujarati_NER
File size: 1,154 Bytes 
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{
  "_name_or_path": "l3cube-pune/gujarati-bert",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "embedding_size": 768,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-PERIOD",
    "2": "I-PERIOD",
    "3": "B-DURATION",
    "4": "I-DURATION",
    "5": "B-WEATHER",
    "6": "I-WEATHER",
    "7": "B-DIGIT",
    "8": "I-DIGIT",
    "9": "B-NUMINAL",
    "10": "I-NUMINAL"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-DIGIT": 7,
    "B-DURATION": 3,
    "B-NUMINAL": 9,
    "B-PERIOD": 1,
    "B-WEATHER": 5,
    "I-DIGIT": 8,
    "I-DURATION": 4,
    "I-NUMINAL": 10,
    "I-PERIOD": 2,
    "I-WEATHER": 6,
    "O": 0
  },
  "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": "4.38.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 197285
}