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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DialOnce/local-EmbeddingDimensionReducer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a844f85002b47e3361f4722b610a26ff2dd14dc847671a93af37a585895668b
- Size of remote file:
- 18.9 MB
- SHA256:
- 03a5ce62f9c090283c7717fde44d6a7366e34e30407b29c821eb54e994fee3ff
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