Instructions to use abegerho/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abegerho/result with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abegerho/result", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from abegerho/result: direct link, hf CLI and curl.
- Browser
- Download file 5.59 kB
-
https://huggingface.co/abegerho/result/resolve/main/training_args.bin
- Command line
-
hf download hf://abegerho/result/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abegerho/result/resolve/main/training_args.bin
5.59 kB
- Xet hash:
- 51e4c870f60b7be29eca5f35ed44a1f1d50443f3b3762927b1254d521ba6941b
- Size of remote file:
- 5.59 kB
- SHA256:
- 52acb7b6b404eec28385546cb95db115c084a29baf91b2fdc964a0a4d8573eb6
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