Instructions to use miladalsh/run-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miladalsh/run-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("miladalsh/run-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from miladalsh/run-2: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/miladalsh/run-2/resolve/main/training_args.bin
- Command line
-
hf download hf://miladalsh/run-2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/miladalsh/run-2/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 37d4cff2ae70ca36f6cc36f27e10d27e1b2ea80013d153ab873c53087f219a3e
- Size of remote file:
- 5.69 kB
- SHA256:
- 392094b7a5ac74862b291d9c7a7d0aba7a1e79affb90406f998d1fb61c0e4ec2
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