Instructions to use nomsgadded/Segments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nomsgadded/Segments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="nomsgadded/Segments")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("nomsgadded/Segments") model = SegformerForSemanticSegmentation.from_pretrained("nomsgadded/Segments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b3cd97d
1
Parent(s): 19f5be9
Training in progress, step 1000
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14918708
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c4ea9fb93d5de74e2290c9d9f5bdaa66426d456ff82c0e56282bc98230f759d1
|
| 3 |
size 14918708
|