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", device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WhynotHug/PixDLM", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| torch>=2.3.0 | |
| torchvision>=0.18.0 | |
| transformers==4.31.0 | |
| tokenizers>=0.13.3 | |
| accelerate>=0.21.0 | |
| deepspeed>=0.14.0 | |
| peft>=0.4.0 | |
| sentencepiece>=0.1.99 | |
| protobuf>=4.25.0 | |
| huggingface_hub>=0.23.0 | |
| datasets>=2.20.0 | |
| opencv-python>=4.8.0 | |
| Pillow>=10.0.0 | |
| numpy>=1.24.0 | |
| scipy>=1.10.0 | |
| tqdm>=4.66.0 | |
| einops>=0.6.1 | |
| matplotlib>=3.7.0 | |
| pycocotools>=2.0.7 | |
| tensorboard>=2.14.0 | |
| gradio>=4.44.0 | |