Instructions to use ayyuce/sam2rad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayyuce/sam2rad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ayyuce/sam2rad")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ayyuce/sam2rad", dtype="auto") - Notebooks
- Google Colab
- Kaggle
trained for 30 epochs
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 178789412
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e40b81989a6cd285490d0c48b020b687727950e4e96cd10e838ca0ab18cceb5
|
| 3 |
size 178789412
|