Instructions to use timpan/qee_rerank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timpan/qee_rerank with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="timpan/qee_rerank")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("timpan/qee_rerank") model = AutoModel.from_pretrained("timpan/qee_rerank", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.1b6f395
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Rename cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865 to sentencepiece.bpe.model
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Rename b59159d44c6bd4b1d9f7ae4f8da028da4238e06e to tokenizer_config.json
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Rename 62c24cdc13d4c9952d63718d6c9fa4c287974249e16b7ade6d5a85e7bbb75626 to tokenizer.json
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Rename 2ea7ad0e45a9d1d1591782ba7e29a703d0758831 to special_tokens_map.json
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initial commit
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