Instructions to use Qifa/ladabaru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qifa/ladabaru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Qifa/ladabaru")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Qifa/ladabaru") model = AutoModelForObjectDetection.from_pretrained("Qifa/ladabaru") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by Qifa - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5824ba345864108b3328c815022d319df454d9643d7b008d91ad9a7ab063d531
|
| 3 |
+
size 25910944
|