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pucpr-br
/
postagger-bio-portuguese

Token Classification
Transformers
PyTorch
Portuguese
bert
Inference Endpoints
Model card Files Community
1
postagger-bio-portuguese
File size: 1,799 Bytes 
9de61ab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "pucpr/biobertpt-all",
  "_num_labels": 27,
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "eos_token_ids": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "PROPESS",
	 "1": "PREP",
	 "2": "KC",
	 "3": "IN",
	 "4": "ADV-KS",
	 "5": "NPROP",
	 "6": "PRO-KS",
	 "7": "N",
	 "8": "NUM",
	 "9": "PREP+ART",
	 "10": "KS",
	 "11": "PDEN",
	 "12": "CUR",
	 "13": "PREP+ADV",
	 "14": "PROADJ",
	 "15": "PREP+PROSUB",
	 "16": "PREP+PROADJ",
	 "17": "ART",
	 "18": "V",
	 "19": "ADV",
	 "20": "PU",
	 "21": "PCP",
	 "22": "PROSUB",
	 "23": "ADJ",
	 "24": "PREP+PROPESS",
	 "25": "PREP+PRO-KS",
	 "26": "<pad>"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
   "<pad>": 26,
	 "ADJ": 23,
	 "ADV": 19,
	 "ADV-KS": 4,
	 "ART": 17,
	 "CUR": 12,
	 "IN": 3,
	 "KC": 2,
	 "KS": 10,
	 "N": 7,
	 "NPROP": 5,
	 "NUM": 8,
	 "PCP": 21,
	 "PDEN": 11,
	 "PREP": 1,
	 "PREP+ADV": 13,
	 "PREP+ART": 9,
	 "PREP+PRO-KS": 25,
	 "PREP+PROADJ": 16,
	 "PREP+PROPESS": 24,
	 "PREP+PROSUB": 15,
	 "PRO-KS": 6,
	 "PROADJ": 14,
	 "PROPESS": 0,
	 "PROSUB": 22,
	 "PU": 20,
	 "V": 18
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": null,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.20.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}