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_13.bin from calebboud/vicuna: direct link, hf CLI and curl.
- Browser
- Download file 31 MB
-
https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_13.bin
- Command line
-
hf download hf://calebboud/vicuna/params_shard_13.bin
-
curl -L -o params_shard_13.bin https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_13.bin
31 MB
- Xet hash:
- 0bbde07f3218583d4b9e81d9b303da4d5e2a2570447522b0c85c4fd4f9ca2a68
- Size of remote file:
- 31 MB
- SHA256:
- 969209f6d205672e7d39e48b51578c3e315fb49932d07760e55644dd1d8f6462
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