Instructions to use HorcruxNo13/segformer-b0-finetuned-segments-toolwear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HorcruxNo13/segformer-b0-finetuned-segments-toolwear with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("HorcruxNo13/segformer-b0-finetuned-segments-toolwear") model = SegformerForSemanticSegmentation.from_pretrained("HorcruxNo13/segformer-b0-finetuned-segments-toolwear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5714016dbf4b51bc67d01aec9117b25bee958ea347dbdc9dc88aad61f68f2c37
- Size of remote file:
- 14.9 MB
- SHA256:
- dd7faecbeaa3ca1ffb025ad099e77093807077639992efe1907a07992f3b181d
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