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
📋 Documentation Enhancement Suggestion
#10 opened 3 months ago
by
CroviaTrust
📋 Documentation Enhancement Suggestion
#9 opened 3 months ago
by
CroviaTrust
Adding `safetensors` variant of this model
#5 opened almost 3 years ago
by
SFconvertbot
What about tensorflow version?
1
#4 opened almost 3 years ago
by
a1b1
How do you get this to work with higher resolution images? Would it require retraining?
#3 opened about 3 years ago
by
wtl890103123
Can you provide an example script for this task
#2 opened over 3 years ago
by
MonsterMMORPG
Nice work :)
5
#1 opened over 3 years ago
by
Bailey24