Instructions to use yota-code/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yota-code/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="yota-code/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("yota-code/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("yota-code/detr_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 174100356
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a830c1eda00151e175085ab3ab7400d7d089811c1761d3df3d395e014ac3d728
|
| 3 |
size 174100356
|
runs/Jun13_15-54-58_aa257b34ea84/events.out.tfevents.1718294099.aa257b34ea84.34.11
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:d844d4748510bfe797f643a0477ad84d2ed40762c446d7140a959dd305012b88
|
| 3 |
+
size 54421
|