Instructions to use CodCodingCode/llama-3.1-8b-GRPO-V2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodCodingCode/llama-3.1-8b-GRPO-V2.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CodCodingCode/llama-3.1-8b-GRPO-V2.0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40f498cca359bfe7ade7c59284cfca5ea49370c79601d77ff450cab749ca10ab
- Size of remote file:
- 7.06 kB
- SHA256:
- 4cf3d821ad0a7202f65407a8ea5958f9a2fe7ce07c267ac7a7c7cd151a8c4b11
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