Instructions to use Lapisbird/Llama-adaLR-model-latent-6-by-1_rl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lapisbird/Llama-adaLR-model-latent-6-by-1_rl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lapisbird/Llama-adaLR-model-latent-6-by-1_rl") model = AutoModel.from_pretrained("Lapisbird/Llama-adaLR-model-latent-6-by-1_rl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag, paper link, GitHub link, and sample usage
#1
by nielsr HF Staff - opened
This PR enhances the model card by:
- Adding the
pipeline_tag: text-generationto improve discoverability on the Hugging Face Hub. - Including a direct link to the paper Learning When to Stop: Adaptive Latent Reasoning via Reinforcement Learning.
- Providing a link to the official GitHub repository: https://github.com/apning/adaptive-latent-reasoning.
- Adding a sample usage code snippet from the GitHub README to guide users on how to load and use the model.
Please review and merge this PR if everything looks good.