Instructions to use vinai/RecGPT-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinai/RecGPT-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vinai/RecGPT-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download custom_embedding.py from vinai/RecGPT-7B: direct link, hf CLI and curl.
- Browser
- Download file 292 Bytes
-
https://huggingface.co/vinai/RecGPT-7B/resolve/main/custom_embedding.py
- Command line
-
hf download hf://vinai/RecGPT-7B/custom_embedding.py
-
curl -L -o custom_embedding.py https://huggingface.co/vinai/RecGPT-7B/resolve/main/custom_embedding.py
292 Bytes
- Xet hash:
- 1d3f7406f17be286fe574be1228667bee986c516c6e6a085b5152a8330939fa4
- Size of remote file:
- 292 Bytes
- SHA256:
- 5959001270bc3dbc76d3ebc54dba0f81ef625a0574d11930bd35ad20c5b1cba5
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