Instructions to use ChingizA/detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChingizA/detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ChingizA/detr")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ChingizA/detr") model = AutoModelForObjectDetection.from_pretrained("ChingizA/detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 166506812
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b10eb392560eff07e237159b3ac8924b5d6f87faff02789df5138ca51513896
|
| 3 |
size 166506812
|
runs/Apr20_18-23-34_95d3ab141fb2/events.out.tfevents.1713637415.95d3ab141fb2.34.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59219e6614562a03a14e93c69d3231f87defb732d624d77c9f0262236ee5ce3d
|
| 3 |
+
size 10063
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4920
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de8a3f3b1b815f3079beb2671defbc39b23ec73f0dde1eedf1c1ed8973834485
|
| 3 |
size 4920
|