| { |
| "_name_or_path": "bert-base-uncased", |
| "add_marker_tokens": false, |
| "architectures": [ |
| "ColBertModel" |
| ], |
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| "attend_to_query_expanded_tokens": true, |
| "attention_probs_dropout_prob": 0.1, |
| "backbone_model_type": "bert", |
| "classifier_dropout": null, |
| "doc_expansion": false, |
| "doc_length": 256, |
| "doc_mask_scoring_tokens": "punctuation", |
| "embedding_dim": 128, |
| "gradient_checkpointing": false, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 768, |
| "initializer_range": 0.02, |
| "intermediate_size": 3072, |
| "layer_norm_eps": 1e-12, |
| "max_position_embeddings": 512, |
| "model_type": "col", |
| "normalization_strategy": null, |
| "num_attention_heads": 12, |
| "num_hidden_layers": 12, |
| "pad_token_id": 0, |
| "position_embedding_type": "absolute", |
| "projection": "linear_no_bias", |
| "query_aggregation_function": "mean", |
| "query_expansion": true, |
| "query_length": 32, |
| "query_mask_scoring_tokens": null, |
| "similarity_function": "dot", |
| "torch_dtype": "float32", |
| "transformers_version": "4.42.4", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 30522 |
| } |
|
|
