Image Segmentation
Transformers
PyTorch
English
garment-mask-generation
image-inpainting
fashion
garment-mask
densepose
human-parsing
Instructions to use Ekliipce/wearit-garment-mask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ekliipce/wearit-garment-mask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Ekliipce/wearit-garment-mask")# Load model directly from transformers import GarmentMaskPipeline model = GarmentMaskPipeline.from_pretrained("Ekliipce/wearit-garment-mask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from huggingface_hub import upload_file | |
| # Votre token et username | |
| username = "Ekliipce" # Changez si nécessaire | |
| repo_id = f"{username}/wearit-garment-mask" | |
| # Upload seulement le fichier corrigé | |
| upload_file( | |
| path_or_fileobj="pipeline.py", | |
| path_in_repo="pipeline.py", | |
| repo_id=repo_id, | |
| repo_type="model", | |
| commit_message="Fix: Remove Pipeline inheritance for standalone usage" | |
| ) | |
| print(f"✓ pipeline.py mis à jour sur {repo_id}") | |