Image Segmentation
Transformers
PyTorch
Safetensors
segformer
Generated from Trainer
document-image-binarization
Instructions to use DiTo97/binarization-segformer-b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DiTo97/binarization-segformer-b3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="DiTo97/binarization-segformer-b3")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("DiTo97/binarization-segformer-b3") model = SegformerForSemanticSegmentation.from_pretrained("DiTo97/binarization-segformer-b3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.b455b15 -
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (95361bf877eece0c7f470cbdb631347813824db9) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>bb6c09c
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