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_110.bin from calebboud/vicuna: direct link, hf CLI and curl.
- Browser
- Download file 28.3 MB
-
https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_110.bin
- Command line
-
hf download hf://calebboud/vicuna/params_shard_110.bin
-
curl -L -o params_shard_110.bin https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_110.bin
28.3 MB
- Xet hash:
- d77c106b98c9615f2c911a9725577938277b3da7ab29f4668e3ecda724e2167e
- Size of remote file:
- 28.3 MB
- SHA256:
- dc5d92be88bfdf6085cdef25a1e736dbf1968e1758319c3e3f8f084912a038ba
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