Instructions to use smsk-01/GRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smsk-01/GRPO with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("smsk-01/GRPO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smsk-01/GRPO: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/smsk-01/GRPO/resolve/main/training_args.bin
- Command line
-
hf download hf://smsk-01/GRPO/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smsk-01/GRPO/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- c5a59ec670ec8831c7cd3cd0ce66c3c8cb1680d7266f175f59da15bfb0f8d36c
- Size of remote file:
- 5.5 kB
- SHA256:
- 97545bb61b7dcf41906c3b3e611c25d616166ce83d184479bb8ed3ed9456bbed
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