Instructions to use swadeshb/Llama-3.2-3B-Instruct-DR_GRPO-V2_NI-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swadeshb/Llama-3.2-3B-Instruct-DR_GRPO-V2_NI-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("swadeshb/Llama-3.2-3B-Instruct-DR_GRPO-V2_NI-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b4e6ec6cb01fbe73ad69a8d9661ac86b9c315c7883de0f18fd103cf19f15943
- Size of remote file:
- 7.38 kB
- SHA256:
- 69e1cb0df7297961fcdc182518595ee8e2cd8855f09551be0de0efec4051c11c
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