{ | |
"_name_or_path": "distil-biobert/models/tiny-biobert/saved_50k/model", | |
"adapters": { | |
"adapters": {}, | |
"config_map": {}, | |
"fusion_config_map": {}, | |
"fusions": {} | |
}, | |
"architectures": [ | |
"BertForMaskedLM" | |
], | |
"attention_probs_dropout_prob": 0.1, | |
"cell": {}, | |
"classifier_dropout": null, | |
"emb_size": 312, | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0.1, | |
"hidden_size": 312, | |
"initializer_range": 0.02, | |
"intermediate_size": 1200, | |
"layer_norm_eps": 1e-12, | |
"max_position_embeddings": 512, | |
"model_type": "bert", | |
"num_attention_heads": 12, | |
"num_hidden_layers": 4, | |
"pad_token_id": 0, | |
"position_embedding_type": "absolute", | |
"pre_trained": "", | |
"structure": [], | |
"torch_dtype": "float32", | |
"transformers_version": "4.17.0", | |
"type_vocab_size": 2, | |
"use_cache": true, | |
"vocab_size": 28996 | |
} | |