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_100.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_100.bin
- Command line
-
hf download hf://calebboud/vicuna/params_shard_100.bin
-
curl -L -o params_shard_100.bin https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_100.bin
22.5 MB
- Xet hash:
- cfa5103095117636cf45d413b833b2e82c12f858ba3c43fe91ab9ccd6b2a0658
- Size of remote file:
- 22.5 MB
- SHA256:
- 71780418757a83b356b5d1613a65308eb2a37eab920facbbf40a64b70c8cccbc
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