Instructions to use MLforHealthcare/sam2rad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLforHealthcare/sam2rad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="MLforHealthcare/sam2rad")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLforHealthcare/sam2rad", dtype="auto") - Notebooks
- Google Colab
- Kaggle
a new pth model added
Browse files
model.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 178907058
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db651abe366b7f2057985f96bb6968ab02f45e7d0d2dd4e6ae03a2369a9fcea3
|
| 3 |
size 178907058
|