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 training_args.bin from BechirS/tiny-aya-global-SFT: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/BechirS/tiny-aya-global-SFT/resolve/main/training_args.bin
- Command line
-
hf download hf://BechirS/tiny-aya-global-SFT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BechirS/tiny-aya-global-SFT/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- 57ec374727e3ff70e7eaf3c67592d1f928665a9052d293f77939ea77fd7c2b66
- Size of remote file:
- 5.65 kB
- SHA256:
- 74f9f891fb05ad02842277a0f0b123a3a7464f9fade6b339499edf4f5cd2dcc0
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