Instructions to use sg485/detr-orderstack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sg485/detr-orderstack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="sg485/detr-orderstack")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("sg485/detr-orderstack") model = AutoModelForObjectDetection.from_pretrained("sg485/detr-orderstack", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload DetrForObjectDetection
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166617173
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:58297124e05299deed2443c61d1e1dd786b3c34e35dd2181024a14a922fd3cea
|
| 3 |
size 166617173
|