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/tokenizer.json from apple/CLaRa-7B-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/apple/CLaRa-7B-Instruct/resolve/refs%2Fpr%2F11/compression-128/tokenizer.json
- Command line
-
hf download hf://apple/CLaRa-7B-Instruct@refs/pr/11/compression-128/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/apple/CLaRa-7B-Instruct/resolve/refs%2Fpr%2F11/compression-128/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.