Instructions to use escottyp/regular-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use escottyp/regular-segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("escottyp/regular-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("escottyp/regular-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2200
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14934861
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:201fb2c70e965bcfd0a4985faa8041ec659b7b7e7d338c7a3810febd8c24e9b0
|
| 3 |
size 14934861
|
runs/May07_17-53-43_07ae8c4f2de7/events.out.tfevents.1683482028.07ae8c4f2de7.442.2
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 sha256:4fe32ed32a4ea6bad3ea795a0fc6e820b238fe7199a3930a46356648f91a64b0
|
| 3 |
+
size 26725
|