Instructions to use DialOnce/local-EmbeddingDimensionReducer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DialOnce/local-EmbeddingDimensionReducer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DialOnce/local-EmbeddingDimensionReducer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DialOnce/local-EmbeddingDimensionReducer: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/DialOnce/local-EmbeddingDimensionReducer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DialOnce/local-EmbeddingDimensionReducer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DialOnce/local-EmbeddingDimensionReducer/resolve/main/pytorch_model.bin
2.37 MB
- Xet hash:
- 3f4f4cde21399762e2974293568e94bc7294a783084addb5842c4a15e43c2efc
- Size of remote file:
- 2.37 MB
- SHA256:
- 542c2e1deea73dda2108e20cab621b1df7e1132e19446771901d3c6000d841bd
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