forked from ailab/Conan-embedding-v1
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{
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"word_embedding_dimension": 1024,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"include_prompt": true
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}
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{"in_features": 1024, "out_features": 1792, "bias": true, "activation_function": "torch.nn.modules.linear.Identity"}
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{
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"_name_or_path": "conan_embedding_v1",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.36.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 21128
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}
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{
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"__version__": {
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"sentence_transformers": "3.0.1",
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"transformers": "4.36.2",
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"pytorch": "2.1.0+cpu"
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},
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"prompts": {},
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"similarity_fn_name": null
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}
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.models.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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},
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{
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"idx": 2,
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"name": "2",
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"path": "2_Dense",
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"type": "sentence_transformers.models.Dense"
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}
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]
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{
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"max_seq_length": 512,
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"do_lower_case": false
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}
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{
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"cls_token": {
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}
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}
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{
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"added_tokens_decoder": {
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}
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},
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"cls_token": "[CLS]",
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"padding_side": "right",
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"stride": 0,
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"tokenizer_class": "BertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]"
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}
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