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_12.bin from calebboud/vicuna: direct link, hf CLI and curl.
- Browser
- Download file 22.5 MB
-
https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_12.bin
- Command line
-
hf download hf://calebboud/vicuna/params_shard_12.bin
-
curl -L -o params_shard_12.bin https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_12.bin
22.5 MB
- Xet hash:
- 8cd0b2e06b62b86e49936f09d999d51fc9bd01a6c0819f4b41fa628e8e9ac4c4
- Size of remote file:
- 22.5 MB
- SHA256:
- 9e43d698edcff8a2c69ecc256373bf80bfc51cd87a6183ace5fafb3b673e087f
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