Instructions to use stable-ai/LimiX-16M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stable-ai/LimiX-16M with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stable-ai/LimiX-16M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add metadata, paper links, and sample usage
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team. This PR improves the model card for LimiX-2M by:
- Adding the
licenseandpipeline_tagto the YAML metadata. - Linking the model to the research paper: LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models.
- Providing links to the GitHub repository and project page.
- Adding a sample usage snippet for classification, helping users get started with the model.
stableai-org changed pull request status to merged