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_16.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_16.bin
- Command line
-
hf download hf://calebboud/vicuna/params_shard_16.bin
-
curl -L -o params_shard_16.bin https://huggingface.co/calebboud/vicuna/resolve/main/params_shard_16.bin
22.5 MB
- Xet hash:
- 6e6fa999b12715b85f9f1ef34520a97661b5a48a702f35f37ddff4f1572c318e
- Size of remote file:
- 22.5 MB
- SHA256:
- 8983ce040c35a8309b51dc5b8f7ca085f90dee1b8276d96f4f69477652d7bee2
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