Instructions to use asmarnadeem/detr-resnet-50_finetuned_cppe5_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asmarnadeem/detr-resnet-50_finetuned_cppe5_ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="asmarnadeem/detr-resnet-50_finetuned_cppe5_")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("asmarnadeem/detr-resnet-50_finetuned_cppe5_") model = AutoModelForObjectDetection.from_pretrained("asmarnadeem/detr-resnet-50_finetuned_cppe5_") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166498936
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ceb0d7aca8cfb1806007b2f8cd489941b39c1ce9aa9d643cfb29684358ec80a
|
| 3 |
size 166498936
|
runs/Feb29_20-22-27_8aa0fde11d62/events.out.tfevents.1709238151.8aa0fde11d62.2070.4
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 sha256:98444901e4a2028ad476588656c42e20c60ae15786c4971000e541bc6460f32d
|
| 3 |
+
size 9670
|