Instructions to use Patnev71/floorplanv40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patnev71/floorplanv40 with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Patnev71/floorplanv40") model = SegformerForSemanticSegmentation.from_pretrained("Patnev71/floorplanv40") - Notebooks
- Google Colab
- Kaggle
Upload SegformerForSemanticSegmentation
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 14891980
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da39369c469746a18f5b71facf205f3f25447e51b177945d56695f278e4bd197
|
| 3 |
size 14891980
|