Image Segmentation
Transformers
PyTorch
TensorBoard
segformer
vision
odontology
x-ray
Generated from Trainer
Instructions to use vimassaru/segformer-b0-finetuned-teeth-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vimassaru/segformer-b0-finetuned-teeth-segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="vimassaru/segformer-b0-finetuned-teeth-segmentation")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("vimassaru/segformer-b0-finetuned-teeth-segmentation") model = SegformerForSemanticSegmentation.from_pretrained("vimassaru/segformer-b0-finetuned-teeth-segmentation") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#3 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot