Instructions to use paturi1710/deter-table-object-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paturi1710/deter-table-object-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="paturi1710/deter-table-object-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("paturi1710/deter-table-object-detection") model = AutoModelForObjectDetection.from_pretrained("paturi1710/deter-table-object-detection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79f2e3bbe3f6f8d67cc4f640dfb974c7238a42b714220d874ef250597353813b
|
| 3 |
+
size 166495368
|