Instructions to use jafdxc/regular-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jafdxc/regular-segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("jafdxc/regular-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("jafdxc/regular-segmentation-model") - Notebooks
- Google Colab
- Kaggle
Upload SegformerForSemanticSegmentation
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 14933025
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e868723953335a47afac534fe4025b4b4ada43d77e87f265aed2353fa3694548
|
| 3 |
size 14933025
|