Instructions to use Cheaple/my-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cheaple/my-detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Cheaple/my-detr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Cheaple/my-detr") model = AutoModelForObjectDetection.from_pretrained("Cheaple/my-detr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Conditional DETR whole -- training in progress, epoch 5
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 174208637
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df7d7cc04a415fb9ac9ee944d121acb43625fc8e6b8a9bc9690b01fcfa9599fc
|
| 3 |
size 174208637
|