Instructions to use Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166616101
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:35a6afbcd4ac7f9ce2ea832702eec1bd3c6a180521fbc3f20558a44b3cc73b8b
|
| 3 |
size 166616101
|
runs/Apr22_10-42-42_e4c259d8441a/events.out.tfevents.1682160209.e4c259d8441a.494.0
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 sha256:6401f24f34a46eb83cfa3205fdb1155294991a98879765958efddeec017e492d
|
| 3 |
+
size 5695
|