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
|
@@ -309,5 +309,5 @@ typst compile reports/report.typ reports/report.pdf
|
|
| 309 |
---
|
| 310 |
|
| 311 |
<p align="center">
|
| 312 |
-
<a href="reports/report.pdf"><b>Read the full report (PDF)</b></a>
|
| 313 |
</p>
|
|
|
|
| 309 |
---
|
| 310 |
|
| 311 |
<p align="center">
|
| 312 |
+
<a href="https://huggingface.co/youngPhilosopher/drywall-qa-clipseg/blob/main/reports/report.pdf"><b>Read the full report (PDF)</b></a>
|
| 313 |
</p>
|