Image Segmentation
Transformers
TensorBoard
Safetensors
segformer
semantic-segmentation
vision
ecology
Instructions to use restor/tcd-segformer-mit-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use restor/tcd-segformer-mit-b2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="restor/tcd-segformer-mit-b2")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("restor/tcd-segformer-mit-b2") model = SegformerForSemanticSegmentation.from_pretrained("restor/tcd-segformer-mit-b2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload logs/events.out.tfevents.1715285479.1901591.1 with huggingface_hub
Browse files
logs/events.out.tfevents.1715285479.1901591.1
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