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
File size: 453 Bytes
0412bd1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | 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}")
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