Instructions to use Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-0.5B 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-0.5B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-0.5B") model = AutoModel.from_pretrained("Open-Reasoner-Zero/Open-Reasoner-Zero-Critic-0.5B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f197feaf387d6b80bfb67576b01a2dee234db997da867f7a7858e846ed011a48
- Size of remote file:
- 988 MB
- SHA256:
- a6c20a96394b72229f52dea5d5f1331a4f64557c49173e9f3dd02d26b27685bb
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