Instructions to use ArrayDice/Vehicle_Detection_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArrayDice/Vehicle_Detection_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ArrayDice/Vehicle_Detection_Model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ArrayDice/Vehicle_Detection_Model") model = AutoModelForObjectDetection.from_pretrained("ArrayDice/Vehicle_Detection_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 24
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166505112
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:18194e7e0f4bfc15511e12645ffb7baf3bc5eeceb32e06b259bb11af15f05632
|
| 3 |
size 166505112
|
runs/Jul11_13-04-08_9002a8dd5626/events.out.tfevents.1720703068.9002a8dd5626.417.0
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 sha256:4e1779799f382e211cee3a62b5d5935e023cc58386b2b678ef090fcbdd17ca2e
|
| 3 |
+
size 45521
|