Add SetFit model
Browse files- README.md +4 -4
- config.json +1 -1
- config_sentence_transformers.json +1 -1
- config_setfit.json +2 -2
- tokenizer.json +2 -2
README.md
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- sentence-transformers
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- text-classification
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- generated_from_setfit_trainer
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metrics:
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- accuracy
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widget:
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- text: What price point is vacant in xx?
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pipeline_tag: text-classification
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inference: true
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base_model: intfloat/multilingual-e5-large
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model-index:
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- name: SetFit with intfloat/multilingual-e5-large
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results:
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- Python: 3.10.12
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- SetFit: 1.0.3
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- Sentence Transformers: 2.7.0
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- Transformers: 4.
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- PyTorch: 2.2.1+cu121
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- Datasets: 2.
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- Tokenizers: 0.
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## Citation
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- sentence-transformers
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- text-classification
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- generated_from_setfit_trainer
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base_model: intfloat/multilingual-e5-large
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metrics:
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- accuracy
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widget:
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- text: What price point is vacant in xx?
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pipeline_tag: text-classification
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inference: true
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model-index:
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- name: SetFit with intfloat/multilingual-e5-large
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results:
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- Python: 3.10.12
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- SetFit: 1.0.3
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- Sentence Transformers: 2.7.0
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- Transformers: 4.40.0
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- PyTorch: 2.2.1+cu121
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- Datasets: 2.19.0
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- Tokenizers: 0.19.1
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## Citation
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config.json
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.40.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.7.0",
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"transformers": "4.
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"pytorch": "2.2.1+cu121"
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},
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"prompts": {},
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{
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"__version__": {
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"sentence_transformers": "2.7.0",
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"transformers": "4.40.0",
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"pytorch": "2.2.1+cu121"
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},
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"prompts": {},
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config_setfit.json
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{
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"
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"
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}
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{
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"normalize_embeddings": false,
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"labels": null
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:883b037111086fd4dfebbbc9b7cee11e1517b5e0c0514879478661440f137085
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size 17082987
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