Instructions to use facebook/mask2former-swin-tiny-ade-semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mask2former-swin-tiny-ade-semantic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="facebook/mask2former-swin-tiny-ade-semantic")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("facebook/mask2former-swin-tiny-ade-semantic", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload Mask2FormerForUniversalSegmentation
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
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 sha256:97bb47771b1f679d0d8b2de75f2d48ce8ad53a60ab56d489c792d48ccb044500
|
| 3 |
+
size 190189605
|