Instructions to use Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-32B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-32B") model = AutoModel.from_pretrained("Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-32B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download figure/train_curve.png from Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-32B: direct link, hf CLI and curl.
- Browser
- Download file 1.57 MB
-
https://huggingface.co/Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-32B/resolve/main/figure/train_curve.png
- Command line
-
hf download hf://Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-32B/figure/train_curve.png
-
curl -L -o train_curve.png https://huggingface.co/Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-32B/resolve/main/figure/train_curve.png
1.57 MB

- Xet hash:
- 25a55915c26bcd915d964bcb123dee37f32cf581db713ccb0acd69586d16b491
- Size of remote file:
- 1.57 MB
- SHA256:
- 09a19623b10221784a72995d44e27468b2726c2e3000a5324e3c96d2fde60d4a
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