Instructions to use massaki75/meditok with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use massaki75/meditok with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("massaki75/meditok", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: add metadata and sample usage
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
This PR improves the model card for MedITok by:
- Adding the
text-to-imagepipeline tag to improve discoverability. - Adding
library_name: transformersmetadata, as the repository contains configuration files and architectures compatible with the Hugging Face Transformers library. - Including a sample usage section for image feature extraction, sourced directly from the official GitHub repository.
- Linking the model to its corresponding paper on the Hub.
Please review and merge if this looks good to you!
LGTM. Thanks!
massaki75 changed pull request status to merged