Instructions to use trapoom555/Phi-2-Text-Embedding-cft-checkpoints 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-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trapoom555/Phi-2-Text-Embedding-cft-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-9000/optimizer.pt from trapoom555/Phi-2-Text-Embedding-cft-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 10.6 MB
-
https://huggingface.co/trapoom555/Phi-2-Text-Embedding-cft-checkpoints/resolve/main/checkpoint-9000/optimizer.pt
- Command line
-
hf download hf://trapoom555/Phi-2-Text-Embedding-cft-checkpoints/checkpoint-9000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/trapoom555/Phi-2-Text-Embedding-cft-checkpoints/resolve/main/checkpoint-9000/optimizer.pt
10.6 MB
- Xet hash:
- dbb6bf281a83cc2bae8e2ca9f42cbf17c3bd616815db8bac48d03e20276b0ba5
- Size of remote file:
- 10.6 MB
- SHA256:
- c0c924764845b98be7902f174ec914dca486d60dfd9016e35a14695d95547b25
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