Instructions to use varcoder/segformer-DeepCrack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varcoder/segformer-DeepCrack with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("varcoder/segformer-DeepCrack") model = SegformerForSemanticSegmentation.from_pretrained("varcoder/segformer-DeepCrack", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 80
Browse files
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:f5f2891c42c421f9fdcabf1307076e36be7f3a338ce7aa3d59b980acd28c13b1
|
| 3 |
size 14931789
|
runs/Jul07_18-51-35_63c1e52f1e7f/events.out.tfevents.1688755898.63c1e52f1e7f.551.5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f6f56c3de51087678b39366b9590b61926f4bb8ff8204be6a6fd757ebabcd1f
|
| 3 |
+
size 19471
|