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bert-base-dutch-cased-finetuned-udlassy-ner

Token Classification Transformers PyTorch JAX Safetensors bert Inference Endpoints
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bert-base-dutch-cased-finetuned-udlassy-ner
File size: 2,611 Bytes 
7109854
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_num_labels": 36,
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.4,
  "bad_words_ids": null,
  "bos_token_id": null,
  "decoder_start_token_id": null,
  "do_sample": false,
  "early_stopping": false,
  "eos_token_id": null,
  "finetuning_task": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.4,
  "hidden_size": 768,
  "id2label": {
    "0": "B-CARDINAL",
    "1": "B-DATE",
    "2": "B-EVENT",
    "3": "B-FAC",
    "4": "B-GPE",
    "5": "B-LANGUAGE",
    "6": "B-LAW",
    "7": "B-LOC",
    "8": "B-MONEY",
    "9": "B-NORP",
    "10": "B-ORDINAL",
    "11": "B-ORG",
    "12": "B-PERCENT",
    "13": "B-PERSON",
    "14": "B-PRODUCT",
    "15": "B-QUANTITY",
    "16": "B-TIME",
    "17": "B-WORK_OF_ART",
    "18": "I-CARDINAL",
    "19": "I-DATE",
    "20": "I-EVENT",
    "21": "I-FAC",
    "22": "I-GPE",
    "23": "I-LANGUAGE",
    "24": "I-LAW",
    "25": "I-LOC",
    "26": "I-MONEY",
    "27": "I-NORP",
    "28": "I-ORG",
    "29": "I-PERCENT",
    "30": "I-PERSON",
    "31": "I-PRODUCT",
    "32": "I-QUANTITY",
    "33": "I-TIME",
    "34": "I-WORK_OF_ART",
    "35": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "is_decoder": false,
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    "B-CARDINAL": 0,
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    "B-FAC": 3,
    "B-GPE": 4,
    "B-LANGUAGE": 5,
    "B-LAW": 6,
    "B-LOC": 7,
    "B-MONEY": 8,
    "B-NORP": 9,
    "B-ORDINAL": 10,
    "B-ORG": 11,
    "B-PERCENT": 12,
    "B-PERSON": 13,
    "B-PRODUCT": 14,
    "B-QUANTITY": 15,
    "B-TIME": 16,
    "B-WORK_OF_ART": 17,
    "I-CARDINAL": 18,
    "I-DATE": 19,
    "I-EVENT": 20,
    "I-FAC": 21,
    "I-GPE": 22,
    "I-LANGUAGE": 23,
    "I-LAW": 24,
    "I-LOC": 25,
    "I-MONEY": 26,
    "I-NORP": 27,
    "I-ORG": 28,
    "I-PERCENT": 29,
    "I-PERSON": 30,
    "I-PRODUCT": 31,
    "I-QUANTITY": 32,
    "I-TIME": 33,
    "I-WORK_OF_ART": 34,
    "O": 35
  },
  "layer_norm_eps": 1e-12,
  "length_penalty": 1.0,
  "max_length": 20,
  "max_position_embeddings": 512,
  "min_length": 0,
  "model_type": "bert",
  "no_repeat_ngram_size": 0,
  "num_attention_heads": 12,
  "num_beams": 1,
  "num_hidden_layers": 12,
  "num_return_sequences": 1,
  "output_attentions": false,
  "output_hidden_states": false,
  "output_past": true,
  "pad_token_id": 0,
  "prefix": null,
  "pruned_heads": {},
  "repetition_penalty": 1.0,
  "task_specific_params": null,
  "temperature": 1.0,
  "top_k": 50,
  "top_p": 1.0,
  "torchscript": false,
  "type_vocab_size": 2,
  "use_bfloat16": false,
  "vocab_size": 30000
}