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