Instructions to use Lapisbird/Llama-adaLR-appendix-model-meaned_codi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lapisbird/Llama-adaLR-appendix-model-meaned_codi with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-meaned_codi") model = AutoModel.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-meaned_codi") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add paper link, code link, pipeline tag, and sample usage
#1
by nielsr HF Staff - opened
This PR enhances the model card by:
- Linking the model to its paper: Learning When to Stop: Adaptive Latent Reasoning via Reinforcement Learning
- Adding a link to the official GitHub repository: https://github.com/apning/adaptive-latent-reasoning
- Including a
pipeline_tag: text-generationin the metadata to improve discoverability on the Hugging Face Hub. - Adding a sample usage snippet, including environment setup instructions, directly from the GitHub README to demonstrate how to load the model.
- Replacing the minimal "Built with Llama" with a more detailed description of the model.
- Removing the "File information" section, as it is internal context and not relevant for the public model card.
Please review and merge if everything looks good.