Instructions to use Lapisbird/Llama-adaLR-appendix-model-meaned_intermediate 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_intermediate with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-meaned_intermediate") model = AutoModel.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-meaned_intermediate") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add paper, code links, pipeline tag, usage, and trained models
#1
by nielsr HF Staff - opened
This PR significantly enhances the model card by:
- Adding the
pipeline_tag: text-generationto the metadata, which will enable the inference widget and improve discoverability. - Linking the model to its official paper: Learning When to Stop: Adaptive Latent Reasoning via Reinforcement Learning.
- Providing a direct link to the associated GitHub repository.
- Including a concise description of the model based on the paper's abstract.
- Adding a "Sample Usage" section with a Python code snippet, directly sourced from the GitHub README, demonstrating how to load the model.
- Incorporating the table of other trained model weights from the GitHub README to provide more context about the project's artifacts.
- Removing the internal "File information" section.
Please review and merge if everything looks good!