Instructions to use Lapisbird/Llama-adaLR-appendix-model-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-codi with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-codi") model = AutoModel.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-codi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card with description, links, and sample usage
Verified signatureThis PR significantly enhances the model card for `Lapisbird/Llama-adaLR-model-latent-6` by: - Adding `pipeline_tag: text-generation` to the metadata for better discoverability on the Hugging Face Hub. - Providing a concise description of the model based on its associated paper. - Including direct links to the paper and the GitHub repository. - Incorporating a clear Python code snippet for sample usage, taken directly from the GitHub README, to enable users to quickly get started with loading the model. - Removing the irrelevant "File information" section from the model card. Please review these updates.c897dbf
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Update README.md
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initial commit
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