Jian
commited on
Commit
•
d515478
1
Parent(s):
f56a748
llm-embedder
Browse files- .DS_Store +0 -0
- config.json +31 -0
- modules.json +20 -0
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- vocab.txt +0 -0
.DS_Store
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Binary file (6.15 kB). View file
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config.json
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{
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"_name_or_path": "/Users/jliao/llm-embedder",
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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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"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": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 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": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.29.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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modules.json
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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_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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]
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:77e0a90534e9d0842f6e996ecf432b35afbca517e8556c9762bdfd04e6394551
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size 435811516
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9d95f97e9885002c1c94b2580f486d7c047ded60ff689d49148225cabdc15ed
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size 110083278
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"truncation_side": "right",
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"unk_token": "[UNK]"
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}
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vocab.txt
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