Instructions to use varcoder/CrackSeg-MIT-b0-aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varcoder/CrackSeg-MIT-b0-aug with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("varcoder/CrackSeg-MIT-b0-aug") model = SegformerForSemanticSegmentation.from_pretrained("varcoder/CrackSeg-MIT-b0-aug") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
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 109529789
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:24e7acc9eda1b3da5d6f305d265b2bc991883312f0a708f5547222e4b74a3323
|
| 3 |
size 109529789
|