Instructions to use davidhajdu/dab_detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidhajdu/dab_detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="davidhajdu/dab_detr_finetuned_cppe5")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("davidhajdu/dab_detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("davidhajdu/dab_detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 175239050
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:315c9163e3575e343ebcd746133b37c414500094f9584d5e2121a2479f68d435
|
| 3 |
size 175239050
|
runs/Oct14_06-57-25_da318bc67907/events.out.tfevents.1728889052.da318bc67907.831.0
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 sha256:5acca1b1c30905c4c8d04be3c637bb02d1887a3789b503ee973ed25193942b57
|
| 3 |
+
size 19210
|