Instructions to use mcmonkey/clipseg-rd64-refined-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcmonkey/clipseg-rd64-refined-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mcmonkey/clipseg-rd64-refined-fp16")# Load model directly from transformers import AutoProcessor, CLIPSegForImageSegmentation processor = AutoProcessor.from_pretrained("mcmonkey/clipseg-rd64-refined-fp16") model = CLIPSegForImageSegmentation.from_pretrained("mcmonkey/clipseg-rd64-refined-fp16") - Notebooks
- Google Colab
- Kaggle