Instructions to use DialOnce/staging-EmbeddingDimensionReducer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DialOnce/staging-EmbeddingDimensionReducer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DialOnce/staging-EmbeddingDimensionReducer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DialOnce/staging-EmbeddingDimensionReducer: direct link, hf CLI and curl.
- Browser
- Download file 4.74 MB
-
https://huggingface.co/DialOnce/staging-EmbeddingDimensionReducer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DialOnce/staging-EmbeddingDimensionReducer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DialOnce/staging-EmbeddingDimensionReducer/resolve/main/pytorch_model.bin
4.74 MB
- Xet hash:
- e20353ba62a3a6cf45bdd58cbccb88f983264cca2907ffe0bce0478420e64464
- Size of remote file:
- 4.74 MB
- SHA256:
- 1d8971916b11a0457dfca2bae25d26f4aa416a582da54220ea961418f8c9de78
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