Instructions to use calebboud/vicuna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calebboud/vicuna with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("calebboud/vicuna", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download params_shard_131.bin from calebboud/vicuna: direct link, hf CLI and curl.
- Browser
- Download file 8.19 MB
-
https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_131.bin
- Command line
-
hf download hf://calebboud/vicuna/params_shard_131.bin
-
curl -L -o params_shard_131.bin https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_131.bin
8.19 MB
- Xet hash:
- f050bf9e7138e72be0db8c0d806b229b81906e928ebd8f715045f44c2ccf08d8
- Size of remote file:
- 8.19 MB
- SHA256:
- 350cb2daf0350ebdbe7cb877d496d837b63cc49db0b518abf91c8ec19abcc9b5
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