Instructions to use stable-ai/LimiX-2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stable-ai/LimiX-2M with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stable-ai/LimiX-2M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add metadata, paper link, and improve model card
#1
by nielsr HF Staff - opened
This PR improves the model card for LimiX-2M. Key changes include:
- Added YAML metadata with the correct
pipeline_tagandlicense. - Added a link to the research paper on the Hugging Face Hub.
- Added a link to the official GitHub repository.
- Included a sample usage code snippet for classification tasks, adapted from the provided documentation.
- Retained and organized the technical details regarding the model architecture and evaluation.
stableai-org changed pull request status to merged