Instructions to use Onegafer/segformer-v-mesh-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Onegafer/segformer-v-mesh-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Onegafer/segformer-v-mesh-0")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Onegafer/segformer-v-mesh-0") model = SegformerForSemanticSegmentation.from_pretrained("Onegafer/segformer-v-mesh-0") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- pytorch_model.bin +1 -1
- training_args.bin +1 -1
pytorch_model.bin
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training_args.bin
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