Instructions to use CIDAS/clipseg-rd64-refined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CIDAS/clipseg-rd64-refined with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="CIDAS/clipseg-rd64-refined")# Load model directly from transformers import AutoProcessor, CLIPSegForImageSegmentation processor = AutoProcessor.from_pretrained("CIDAS/clipseg-rd64-refined") model = CLIPSegForImageSegmentation.from_pretrained("CIDAS/clipseg-rd64-refined") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#6)
Browse files- Adding `safetensors` variant of this model (39230e5e93cdafb8aebd17893b0e69951611ec5a)
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