Instructions to use BRlkl/GRPO-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BRlkl/GRPO-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BRlkl/GRPO-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from BRlkl/GRPO-2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/BRlkl/GRPO-2/resolve/main/tokenizer.json
- Command line
-
hf download hf://BRlkl/GRPO-2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BRlkl/GRPO-2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- b60a34acda8b647b3c1d551e443e5da570fcb31703f0014d0de34e329518a7cd
- Size of remote file:
- 11.4 MB
- SHA256:
- b8069694a7cfbafc1bf1b0e0ddccf700cf3509f311c19f5ee0908330f6dac127
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