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
Release Checklist
Before uploading a public release:
Run the private-path scanner:
python scripts/check_release.py .Confirm no large local artifacts are included:
find . -type f -size +50MConfirm auth tokens are not present:
grep -R "hf_" . --exclude-dir=.git --exclude-dir=.cacheUpload to HuggingFace with a token stored only in the environment:
export HF_TOKEN=... python scripts/upload_to_hf.py --namespace WhynotHug unset HF_TOKENReview the public pages:
The upload script updates cards, scripts, docs, and metadata without committing
local data/, checkpoints/, outputs/, or logs/.