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 400
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 14931789
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3753d9d7feea65f07a72bd4392ee392c23bd29a3eaee0e11abb3f1a39e6ffc58
|
| 3 |
size 14931789
|