Instructions to use edangx100/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edangx100/my-segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("edangx100/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("edangx100/my-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload SegformerForSemanticSegmentation
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"torch_dtype": "float32",
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"transformers_version": "4.
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}
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"torch_dtype": "float32",
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"transformers_version": "4.29.0.dev0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:554597e9a6f0d5b769cea060a803954d5b5b1763f662c6089b0b48ec97c02a06
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size 14934861
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