Instructions to use CodCodingCode/Qwen2-0.5B-GRPO-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodCodingCode/Qwen2-0.5B-GRPO-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CodCodingCode/Qwen2-0.5B-GRPO-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CodCodingCode/Qwen2-0.5B-GRPO-test: direct link, hf CLI and curl.
- Browser
- Download file 6.07 kB
-
https://huggingface.co/CodCodingCode/Qwen2-0.5B-GRPO-test/resolve/ad367c41efb1eceb3fe9eeb4e044f98904186bf4/training_args.bin
- Command line
-
hf download hf://CodCodingCode/Qwen2-0.5B-GRPO-test@ad367c41efb1eceb3fe9eeb4e044f98904186bf4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CodCodingCode/Qwen2-0.5B-GRPO-test/resolve/ad367c41efb1eceb3fe9eeb4e044f98904186bf4/training_args.bin
6.07 kB
- Xet hash:
- 707c7bb8eac81f089656aabf29194bdac6bcbb8d06aa72147b98e55777dc60e5
- Size of remote file:
- 6.07 kB
- SHA256:
- ff7f8ebd30006d182e4520c0d567306547b376cdb06b59f5957607e12fe61778
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