programmersilvanus/ner-quantization
04
1{2 "_name_or_path": "ner-silvanus-quantization/",3 "architectures": [4 "XLMRobertaForTokenClassification"5 ],6 "attention_probs_dropout_prob": 0.1,7 "bos_token_id": 0,8 "classifier_dropout": null,9 "eos_token_id": 2,10 "hidden_act": "gelu",11 "hidden_dropout_prob": 0.1,12 "hidden_size": 768,13 "id2label": {14 "0": "O",15 "1": "B-LOC",16 "2": "I-LOC",17 "3": "B-DAT",18 "4": "I-DAT",19 "5": "B-TIM",20 "6": "I-TIM"21 },22 "initializer_range": 0.02,23 "intermediate_size": 3072,24 "label2id": {25 "B-DAT": 3,26 "B-LOC": 1,27 "B-TIM": 5,28 "I-DAT": 4,29 "I-LOC": 2,30 "I-TIM": 6,31 "O": 032 },33 "layer_norm_eps": 1e-05,34 "max_position_embeddings": 514,35 "model_type": "xlm-roberta",36 "num_attention_heads": 12,37 "num_hidden_layers": 12,38 "output_past": true,39 "pad_token_id": 1,40 "position_embedding_type": "absolute",41 "torch_dtype": "float32",42 "transformers_version": "4.41.2",43 "type_vocab_size": 1,44 "use_cache": true,45 "vocab_size": 25000246}47 