Image Segmentation
Transformers
medical-imaging
glaucoma
federated-learning
semantic-segmentation
ophthalmology
computer-vision
healthcare
mask2former
swin-transformer
Instructions to use sud11111/Federated-Learning-Glaucoma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sud11111/Federated-Learning-Glaucoma with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="sud11111/Federated-Learning-Glaucoma")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sud11111/Federated-Learning-Glaucoma", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!