Image Segmentation
Transformers
English
clipseg
segmentation
construction
drywall
quality-assurance
text-conditioned
binary-mask
Instructions to use youngPhilosopher/drywall-qa-clipseg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use youngPhilosopher/drywall-qa-clipseg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="youngPhilosopher/drywall-qa-clipseg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("youngPhilosopher/drywall-qa-clipseg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -28,9 +28,7 @@ metrics:
|
|
| 28 |
</p>
|
| 29 |
</p>
|
| 30 |
|
| 31 |
-
|
| 32 |
-
<img src="https://img.shields.io/badge/python-3.11-3776AB?logo=python&logoColor=white" alt="Python 3.11"> <img src="https://img.shields.io/badge/PyTorch-2.11-EE4C2C?logo=pytorch&logoColor=white" alt="PyTorch"> <img src="https://img.shields.io/badge/HuggingFace-transformers-FFD21E?logo=huggingface&logoColor=black" alt="HuggingFace"> <img src="https://img.shields.io/badge/model-CLIPSeg-blue" alt="CLIPSeg"> <img src="https://img.shields.io/badge/report-Typst_PDF-239DAD?logo=typst&logoColor=white" alt="Typst"> <img src="https://img.shields.io/badge/package_manager-uv-DE5FE9?logo=uv&logoColor=white" alt="uv"> <img src="https://img.shields.io/badge/license-MIT-green" alt="MIT License">
|
| 33 |
-
</p>
|
| 34 |
|
| 35 |
<p align="center">
|
| 36 |
<a href="#1-methodology">Methodology</a> •
|
|
|
|
| 28 |
</p>
|
| 29 |
</p>
|
| 30 |
|
| 31 |
+
      
|
|
|
|
|
|
|
| 32 |
|
| 33 |
<p align="center">
|
| 34 |
<a href="#1-methodology">Methodology</a> •
|