Instructions to use Mustafa21/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mustafa21/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Mustafa21/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Mustafa21/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("Mustafa21/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166620197
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:975f53b9a4c2f7856bce268f2ebd5ecd88f945a77dccc1a44ef8d0a87219fe57
|
| 3 |
size 166620197
|
runs/Feb10_18-55-37_mustafa21/events.out.tfevents.1676051742.mustafa21.44097.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:17c6d94d9b91f8c9d107b0933d5ac2e5f4f623b2804ebf3b6d97fa77388c52c1
|
| 3 |
+
size 12598
|