Upload folder using huggingface_hub
Browse files- README.md +9 -0
- config.json +33 -0
- onnx/model.onnx +3 -0
- onnx/model_bnb4.onnx +3 -0
- onnx/model_fp16.onnx +3 -0
- onnx/model_int8.onnx +3 -0
- onnx/model_q4.onnx +3 -0
- onnx/model_q4f16.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- onnx/model_uint8.onnx +3 -0
- quantize_config.json +18 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- vocab.txt +0 -0
README.md
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---
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library_name: transformers.js
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base_model:
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- deutsche-telekom/bert-multi-english-german-squad2
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---
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# bert-multi-english-german-squad2 (ONNX)
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This is an ONNX version of [deutsche-telekom/bert-multi-english-german-squad2](https://huggingface.co/deutsche-telekom/bert-multi-english-german-squad2). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
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config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "deutsche-telekom/bert-multi-english-german-squad2",
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"architectures": [
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"BertForQuestionAnswering"
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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": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"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": "4.49.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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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 sha256:6b9be5148c9bacb4065a942eabbebf285d7b9bd0e301e3371e6c1eef3c31c212
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size 709366020
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onnx/model_bnb4.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:bcb190f98e50753d809600e20dfe8dec9e67de75c76e7123b8c646e4515a4659
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size 417409215
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onnx/model_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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size 354837572
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onnx/model_int8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:223fdebe8d8d24e13a91194163007c78cc77bf523f1922f97b0ec7dfb26fbe61
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size 178446518
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onnx/model_q4.onnx
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version https://git-lfs.github.com/spec/v1
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size 422717192
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onnx/model_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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size 232752710
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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size 178446518
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onnx/model_uint8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:e20144726c3738a4cb6ee61201826dbcd5f49929d2fdaf77b9fb64d406f8d2b8
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size 178446518
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quantize_config.json
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{
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"modes": [
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"fp16",
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"q8",
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"int8",
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"uint8",
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"q4",
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"q4f16",
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"bnb4"
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],
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"per_channel": true,
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"reduce_range": true,
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"block_size": null,
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"is_symmetric": true,
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"accuracy_level": null,
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"quant_type": 1,
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"op_block_list": null
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}
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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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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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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": false,
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"extra_special_tokens": {},
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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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"unk_token": "[UNK]"
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}
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vocab.txt
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