{ "_name_or_path": "ai4bharat/indic-bert", "architectures": [ "AlbertForTokenClassification" ], "attention_probs_dropout_prob": 0, "bos_token_id": 2, "classifier_dropout_prob": 0.1, "down_scale_factor": 1, "embedding_size": 128, "eos_token_id": 3, "gap_size": 0, "hidden_act": "gelu", "hidden_dropout_prob": 0, "hidden_size": 768, "id2label": { "0": "O", "1": "B-CW", "2": "B-PROD", "3": "B-PER", "4": "I-PER", "5": "I-PROD", "6": "B-LOC", "7": "B-CORP", "8": "I-CORP", "9": "B-GRP", "10": "I-GRP", "11": "I-CW", "12": "I-LOC" }, "initializer_range": 0.02, "inner_group_num": 1, "intermediate_size": 3072, "label2id": { "B-CORP": 7, "B-CW": 1, "B-GRP": 9, "B-LOC": 6, "B-PER": 3, "B-PROD": 2, "I-CORP": 8, "I-CW": 11, "I-GRP": 10, "I-LOC": 12, "I-PER": 4, "I-PROD": 5, "O": 0 }, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "albert", "net_structure_type": 0, "num_attention_heads": 12, "num_hidden_groups": 1, "num_hidden_layers": 12, "num_memory_blocks": 0, "pad_token_id": 0, "position_embedding_type": "absolute", "torch_dtype": "float32", "transformers_version": "4.18.0", "type_vocab_size": 2, "vocab_size": 200000 }