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_121.bin from calebboud/vicuna: direct link, hf CLI and curl.
- Browser
- Download file 31 MB
-
https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_121.bin
- Command line
-
hf download hf://calebboud/vicuna/params_shard_121.bin
-
curl -L -o params_shard_121.bin https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_121.bin
31 MB
- Xet hash:
- 7cf8e4e01df2fd4832a7fc1461255e037a9f9b477d06c85e1762cd9dc1c60463
- Size of remote file:
- 31 MB
- SHA256:
- 38742b0731e9a352b469a574e11ceb369263f703f291035dc8d40cfbbc243bef
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