Instructions to use mujerry/mit-b0_whitefly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mujerry/mit-b0_whitefly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mujerry/mit-b0_whitefly")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("mujerry/mit-b0_whitefly") model = SegformerForSemanticSegmentation.from_pretrained("mujerry/mit-b0_whitefly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6efa8a793f52d0e3467e1030c8feace43d255199d8f979095f7841897ab117d0
- Size of remote file:
- 5.24 kB
- SHA256:
- 62757386e0c77499ac179d8d8db83c8e54623785789126c4cd0f6d96ef540a42
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