Instructions to use bikalpoudel/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bikalpoudel/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bikalpoudel/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bikalpoudel/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/bikalpoudel/checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://bikalpoudel/checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bikalpoudel/checkpoints/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- f22ddfd9b5f6b25542673622a6a1f13b26b9f296cf2e602bfcb41129d69fe97c
- Size of remote file:
- 5.78 kB
- SHA256:
- e9486f1ae5a9a56fe7d54384d5b7807184b6a1d0075e16914f036f98bf00d3d0
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