Instructions to use Hemg/semantic-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/semantic-segmentation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Hemg/semantic-segmentation") model = SegformerForSemanticSegmentation.from_pretrained("Hemg/semantic-segmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15036944
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15b21550a4d97861cf9ba85a23f72552a2029361eb345e5917553f08ede0033e
|
| 3 |
size 15036944
|
runs/May27_06-57-27_3541c895f2af/events.out.tfevents.1716793047.3541c895f2af.34.3
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 sha256:8ad4346a27c07bb62c481d4229a4d803c1503e9c6fcc57cdb16349edff4cecf5
|
| 3 |
+
size 56962
|