Instructions to use BechirS/tiny-aya-global-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BechirS/tiny-aya-global-SFT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BechirS/tiny-aya-global-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BechirS/tiny-aya-global-SFT: direct link, hf CLI and curl.
- Browser
- Download file 21.4 MB
-
https://huggingface.co/BechirS/tiny-aya-global-SFT/resolve/main/tokenizer.json
- Command line
-
hf download hf://BechirS/tiny-aya-global-SFT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BechirS/tiny-aya-global-SFT/resolve/main/tokenizer.json
21.4 MB
- Xet hash:
- 5b9087b47ccb327dedc1b28276bce2d2f5a9de468d7b6f5dc5ca35db8cdf71de
- Size of remote file:
- 21.4 MB
- SHA256:
- 84d150b8af762b3662bdadc1fbc8274bc535ef86c0d497d0a40469fe86d92368
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