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pythainlp
/
thainer-corpus-v2-base-model

Token Classification
Transformers
PyTorch
Safetensors
Thai
camembert
Inference Endpoints
Model card Files Community
1
thainer-corpus-v2-base-model
File size: 2,267 Bytes 
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{
  "_name_or_path": "airesearch/wangchanberta-base-att-spm-uncased",
  "architectures": [
    "CamembertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-PERSON",
    "1": "I-PERSON",
    "2": "O",
    "3": "B-ORGANIZATION",
    "4": "B-LOCATION",
    "5": "I-ORGANIZATION",
    "6": "I-LOCATION",
    "7": "B-DATE",
    "8": "I-DATE",
    "9": "B-TIME",
    "10": "I-TIME",
    "11": "B-MONEY",
    "12": "I-MONEY",
    "13": "B-FACILITY",
    "14": "I-FACILITY",
    "15": "B-URL",
    "16": "I-URL",
    "17": "B-PERCENT",
    "18": "I-PERCENT",
    "19": "B-LEN",
    "20": "I-LEN",
    "21": "B-AGO",
    "22": "I-AGO",
    "23": "B-LAW",
    "24": "I-LAW",
    "25": "B-PHONE",
    "26": "I-PHONE",
    "27": "B-EMAIL",
    "28": "I-EMAIL",
    "29": "B-ZIP",
    "30": "B-TEMPERATURE",
    "31": "I-TEMPERATURE",
    "32": "B-DTAE",
    "33": "I-DTAE",
    "34": "B-DATA",
    "35": "I-DATA"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-AGO": 21,
    "B-DATA": 34,
    "B-DATE": 7,
    "B-DTAE": 32,
    "B-EMAIL": 27,
    "B-FACILITY": 13,
    "B-LAW": 23,
    "B-LEN": 19,
    "B-LOCATION": 4,
    "B-MONEY": 11,
    "B-ORGANIZATION": 3,
    "B-PERCENT": 17,
    "B-PERSON": 0,
    "B-PHONE": 25,
    "B-TEMPERATURE": 30,
    "B-TIME": 9,
    "B-URL": 15,
    "B-ZIP": 29,
    "I-AGO": 22,
    "I-DATA": 35,
    "I-DATE": 8,
    "I-DTAE": 33,
    "I-EMAIL": 28,
    "I-FACILITY": 14,
    "I-LAW": 24,
    "I-LEN": 20,
    "I-LOCATION": 6,
    "I-MONEY": 12,
    "I-ORGANIZATION": 5,
    "I-PERCENT": 18,
    "I-PERSON": 1,
    "I-PHONE": 26,
    "I-TEMPERATURE": 31,
    "I-TIME": 10,
    "I-URL": 16,
    "O": 2
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "camembert",
  "num_attention_head": 12,
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.27.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 25005
}