Image Segmentation
Transformers
PyTorch
pixdlm
cvpr-2026
compute-transparency
reasoning-segmentation
uav
remote-sensing
vision-language
Instructions to use WhynotHug/PixDLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WhynotHug/PixDLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="WhynotHug/PixDLM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WhynotHug/PixDLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 925263d1350a23154d6dd9a7521f5670fe3d288daa7f70efb37b9d633a5d7214
- Size of remote file:
- 13.6 GB
- SHA256:
- fc3f8ec17e57c17068be371c33bbe06b156be779f0087a5bb63d9f658729b220
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