Instructions to use andro-flock/b2-semantic-segment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andro-flock/b2-semantic-segment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="andro-flock/b2-semantic-segment")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("andro-flock/b2-semantic-segment") model = SegformerForSemanticSegmentation.from_pretrained("andro-flock/b2-semantic-segment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32acee06aa9bc1b0de8079b0c2fc5a24bb2f8d9199bccd0ac1f1d4bfec72c4cf
- Size of remote file:
- 5.5 kB
- SHA256:
- b6267f524c8b75a0ecf71377b02ff97b54e5571257ca6556478f084e72f266d2
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