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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2700
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 sha256:6024eb7d0c94b4bde10be053e5f8fd842ee8d264927076391f69c64ab1665633
|
| 3 |
size 14931789
|