Instructions to use apple/CLaRa-7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/CLaRa-7B-Instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apple/CLaRa-7B-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download compression-128/adapters.pth from apple/CLaRa-7B-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 692 MB
-
https://huggingface.co/apple/CLaRa-7B-Instruct/resolve/main/compression-128/adapters.pth
- Command line
-
hf download hf://apple/CLaRa-7B-Instruct/compression-128/adapters.pth
-
curl -L -o adapters.pth https://huggingface.co/apple/CLaRa-7B-Instruct/resolve/main/compression-128/adapters.pth
692 MB
- Xet hash:
- e48519ae90f66b76c179ea9471ace1c82236ca5072c821bb19733ab7b871109f
- Size of remote file:
- 692 MB
- SHA256:
- 1afb16aa774aa0f12313dbe4170224e76a7f46e4f91cfd306931941df2532c1d
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