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_115.bin from calebboud/vicuna: direct link, hf CLI and curl.
- Browser
- Download file 32 MB
-
https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_115.bin
- Command line
-
hf download hf://calebboud/vicuna/params_shard_115.bin
-
curl -L -o params_shard_115.bin https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_115.bin
32 MB
- Xet hash:
- e597eb478ee1f7b953816954e7ad77a40664b331bf92efc33ae0444efb9ae1d8
- Size of remote file:
- 32 MB
- SHA256:
- ced9644fd422060a2ded2201a55d610c2ffe7481fb8f8425b49bae6634187717
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