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 20
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 175238922
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1018ff295842ef2ffcb99fbb395dbdb5ffb479c35f61763f5aa4cf54b6fb0485
|
| 3 |
size 175238922
|
runs/Nov03_15-03-08_9f8ccccb5bd6/events.out.tfevents.1730646191.9f8ccccb5bd6.707.0
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:e324d2d78279762f4616e7144d097fea781a87c8cc4a9609298b7e5e8fec09d7
|
| 3 |
+
size 36002
|