Instructions to use arkito/VeritaScan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use arkito/VeritaScan with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("arkito/VeritaScan", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- .gitattributes +2 -0
- 4.png +3 -0
- 5.png +3 -0
.gitattributes
CHANGED
|
@@ -40,3 +40,5 @@ results.png filter=lfs diff=lfs merge=lfs -text
|
|
| 40 |
best.mnn filter=lfs diff=lfs merge=lfs -text
|
| 41 |
best.torchscript filter=lfs diff=lfs merge=lfs -text
|
| 42 |
best.engine filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
| 40 |
best.mnn filter=lfs diff=lfs merge=lfs -text
|
| 41 |
best.torchscript filter=lfs diff=lfs merge=lfs -text
|
| 42 |
best.engine filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
4.png filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
5.png filter=lfs diff=lfs merge=lfs -text
|
4.png
ADDED
|
Git LFS Details
|
5.png
ADDED
|
Git LFS Details
|