Instructions to use Lapisbird/Llama-adaLR-appendix-model-meaned 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 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-meaned") model = AutoModel.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-meaned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag, paper link, code link, and sample usage
#1
by nielsr HF Staff - opened
This PR enhances the model card by adding:
- The
pipeline_tag: text-generationto ensure the model is discoverable under the correct pipeline on the Hugging Face Hub. - A direct link to the paper: Learning When to Stop: Adaptive Latent Reasoning via Reinforcement Learning.
- A "Sample Usage" section with a Python code snippet from the GitHub README to demonstrate how to load and use the model with the
transformerslibrary.
These additions will make the model card more informative and user-friendly.