Instructions to use skumar1998/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skumar1998/result with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("skumar1998/result", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from skumar1998/result: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/skumar1998/result/resolve/main/training_args.bin
- Command line
-
hf download hf://skumar1998/result/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/skumar1998/result/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 87001e9e5c3ef812e2b27826cff17bfe1b457e697dd3663f7e8c4b5cedfc15aa
- Size of remote file:
- 5.91 kB
- SHA256:
- cea301ee295c8c68b7bebf9acc1c507cf6269e3eec8c86f27081392ad41371ab
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