Instructions to use zeromodels/dinov2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/dinov2-small with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/dinov2-small") - Notebooks
- Google Colab
- Kaggle
Add use_swiglu to config; add giant to variant table
Browse files
README.md
CHANGED
|
@@ -60,6 +60,7 @@ Load any DINOv2 variant the same way with `from_weights("kerasformers/<variant>"
|
|
| 60 |
| `dinov2-small` | [`kerasformers/dinov2-small`](https://huggingface.co/kerasformers/dinov2-small) | ViT-S/14 |
|
| 61 |
| `dinov2-base` | [`kerasformers/dinov2-base`](https://huggingface.co/kerasformers/dinov2-base) | ViT-B/14 |
|
| 62 |
| `dinov2-large` | [`kerasformers/dinov2-large`](https://huggingface.co/kerasformers/dinov2-large) | ViT-L/14 |
|
|
|
|
| 63 |
|
| 64 |
## Tips
|
| 65 |
|
|
|
|
| 60 |
| `dinov2-small` | [`kerasformers/dinov2-small`](https://huggingface.co/kerasformers/dinov2-small) | ViT-S/14 |
|
| 61 |
| `dinov2-base` | [`kerasformers/dinov2-base`](https://huggingface.co/kerasformers/dinov2-base) | ViT-B/14 |
|
| 62 |
| `dinov2-large` | [`kerasformers/dinov2-large`](https://huggingface.co/kerasformers/dinov2-large) | ViT-L/14 |
|
| 63 |
+
| `dinov2-giant` | [`kerasformers/dinov2-giant`](https://huggingface.co/kerasformers/dinov2-giant) | ViT-g/14 |
|
| 64 |
|
| 65 |
## Tips
|
| 66 |
|