Instructions to use Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-7B 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-7B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-7B") model = AutoModel.from_pretrained("Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-7B") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4cc0dd82aa322e64a43156debd6e0fb6c993e4389cfe52ce405924f336bb0055
- Size of remote file:
- 2.37 MB
- SHA256:
- ba7020ca8b4031c6111b1728658184b10fcf42257c97ad1f33c91bc78e4e0932
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