Instructions to use ahmedashrafay/staradapters-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedashrafay/staradapters-python with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ahmedashrafay/staradapters-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ahmedashrafay/staradapters-python: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/ahmedashrafay/staradapters-python/resolve/main/training_args.bin
- Command line
-
hf download hf://ahmedashrafay/staradapters-python/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ahmedashrafay/staradapters-python/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 0466fd8228048a87233f72b7430b20d165a675d5c454adcb306928e16d94d35e
- Size of remote file:
- 5.69 kB
- SHA256:
- 2cf3590de0a17637649da41d0be868bf5966dd0b84d8ad05ef97b14b09f65cc2
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