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_19.bin from calebboud/vicuna: direct link, hf CLI and curl.
- Browser
- Download file 32 MB
-
https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_19.bin
- Command line
-
hf download hf://calebboud/vicuna/params_shard_19.bin
-
curl -L -o params_shard_19.bin https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_19.bin
32 MB
- Xet hash:
- 2bf540132c053b6428e8af452b397aae09f90ae0b47e32cab4fe5d215664fcfd
- Size of remote file:
- 32 MB
- SHA256:
- 5935a34542fd3d58ebaa48a8dd8aabb045f4c01e8da9b0e5f5aee3c98de5a66e
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