Instructions to use nonpawith/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonpawith/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="nonpawith/detr_finetuned_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("nonpawith/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("nonpawith/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 174079796
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:16ed2f41296bbf52696206596c4b88eba6d79bb91070c7800fba352f8a5e73ef
|
| 3 |
size 174079796
|
runs/Aug28_03-12-08_aa57e2c8b151/events.out.tfevents.1756350731.aa57e2c8b151.341.1
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:d961574e07fad359cd19b82512de0201a89120f771e43de698e5adaf8fd9c037
|
| 3 |
+
size 11653
|