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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download figure/teaser.png from Open-Reasoner-Zero/Open-Reasoner-Zero-7B: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/Open-Reasoner-Zero/Open-Reasoner-Zero-7B/resolve/main/figure/teaser.png
- Command line
-
hf download hf://Open-Reasoner-Zero/Open-Reasoner-Zero-7B/figure/teaser.png
-
curl -L -o teaser.png https://huggingface.co/Open-Reasoner-Zero/Open-Reasoner-Zero-7B/resolve/main/figure/teaser.png
2.37 MB

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