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:
- fbfb5d1d988759111764e6dfea3abf13d129970336f78fd27148bb842acfd471
- Size of remote file:
- 7.03 MB
- SHA256:
- a8506e7111b80c6d8635951a02eab0f4e1a8e4e5772da83846579e97b16f61bf
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