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:
- f3abfb8e13cc5fc6c37c113c9d9c714bac1c376813f4b12c356012502652ac22
- Size of remote file:
- 14.9 MB
- SHA256:
- cfe8a9f7308869439c99dc542fe8b230da97dd336317794fcf592883dc79ee4c
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