Image Segmentation
Transformers
PyTorch
English
setcon_chat
feature-extraction
referring-segmentation
video-segmentation
vision-language
custom_code
Instructions to use rookiexiong/SetCon-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rookiexiong/SetCon-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="rookiexiong/SetCon-8B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rookiexiong/SetCon-8B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bbeb9d3a7c6f6df74a182503c460db4e0009aab9ddfc8321f9c854ba5e60c9a
- Size of remote file:
- 11.4 MB
- SHA256:
- 1c78e03e803b53ad579780f701c83b3d61d56132e4a4f5d299d3edda1782bd28
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