Instructions to use AyaKhaled/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyaKhaled/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AyaKhaled/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AyaKhaled/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/AyaKhaled/checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://AyaKhaled/checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AyaKhaled/checkpoints/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 76a58eadf0d214552b9751305c177d4470492d068a9c88a706c5db78161cde2b
- Size of remote file:
- 5.62 kB
- SHA256:
- bb880839e87b46a091f2de70c177515b4d539e766f392994995220f7b772ace6
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