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

- Xet hash:
- f4383cad2372306bb9794598bb4f9c11a6d8aa3a6ee4b3bb87656037d2fea318
- Size of remote file:
- 180 kB
- SHA256:
- d381f77b1ac7879acf406751de31bb4fe5472bd801128d013f672a1e8ab4c630
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