Instructions to use APaul1/segformer-scene-parse-150-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use APaul1/segformer-scene-parse-150-lora with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("APaul1/segformer-scene-parse-150-lora") model = SegformerForSemanticSegmentation.from_pretrained("APaul1/segformer-scene-parse-150-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2a41bb286d706e870278d72c829ffafab153631e0b56cd22812a1b944b14a9d
- Size of remote file:
- 17.3 MB
- SHA256:
- ebaa4ae03b39c7e46581f6c1b1e82dc0aa1ef0932a8b12f942dd7ad03662989a
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