Instructions to use microsoft/rad-dino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/rad-dino with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="microsoft/rad-dino")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("microsoft/rad-dino") model = AutoModel.from_pretrained("microsoft/rad-dino") - Notebooks
- Google Colab
- Kaggle
Remove dependencies bounds
#11
by fepegar - opened
- pyproject.toml +6 -3
pyproject.toml
CHANGED
|
@@ -12,12 +12,15 @@ dependencies = [
|
|
| 12 |
"requests",
|
| 13 |
"safetensors",
|
| 14 |
"transformers[torch]",
|
| 15 |
-
"typer
|
| 16 |
]
|
| 17 |
|
| 18 |
[build-system]
|
| 19 |
-
requires = ["uv_build
|
| 20 |
build-backend = "uv_build"
|
| 21 |
|
| 22 |
[dependency-groups]
|
| 23 |
-
dev = [
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
"requests",
|
| 13 |
"safetensors",
|
| 14 |
"transformers[torch]",
|
| 15 |
+
"typer",
|
| 16 |
]
|
| 17 |
|
| 18 |
[build-system]
|
| 19 |
+
requires = ["uv_build"]
|
| 20 |
build-backend = "uv_build"
|
| 21 |
|
| 22 |
[dependency-groups]
|
| 23 |
+
dev = [
|
| 24 |
+
"ipykernel",
|
| 25 |
+
"ipywidgets",
|
| 26 |
+
]
|