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") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library_name
#1
by nielsr HF Staff - opened
This PR improves the model card by adding a pipeline tag and the library name. The pipeline tag is set to reinforcement-learning because the models are trained using reinforcement learning. The library_name is set to transformers based on the provided code examples.
reign12 changed pull request status to merged