Instructions to use prashanthbsp/grpo_saved_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prashanthbsp/grpo_saved_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prashanthbsp/grpo_saved_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from prashanthbsp/grpo_saved_lora: direct link, hf CLI and curl.
- Browser
- Download file 264 MB
-
https://huggingface.co/prashanthbsp/grpo_saved_lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://prashanthbsp/grpo_saved_lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/prashanthbsp/grpo_saved_lora/resolve/main/adapter_model.safetensors
264 MB
- Xet hash:
- f7a42e807be5a608b448d75cba771add985a2d97bfb51bef6fd38f71f3bcc41c
- Size of remote file:
- 264 MB
- SHA256:
- 45f4cb74aea96fef25f8775fd81700c8e8df0a4a722e6a5efec5a86277802574
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