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