Instructions to use trapoom555/Phi-2-Text-Embedding-cft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trapoom555/Phi-2-Text-Embedding-cft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trapoom555/Phi-2-Text-Embedding-cft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f04e93291749d25fcc066906bd0ba2d77185c544bf7d71e3493ff2fd3f0c001
- Size of remote file:
- 4.98 kB
- SHA256:
- b107e10c3f16daeb50e445875c72c80191fb75f0a018b11b5e6649f12b4edb0e
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