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 11
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:d732e17002604bb60abcfd62ad627f427dbb67b801535965c3e8bc867628a381
|
| 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:c86bd6daa59d75e143eaf86f8a3c9dd1e8ff5c9c3d1d2f28054157d9319bc841
|
| 3 |
+
size 22341
|