Instructions to use timm/vit_base_patch16_224.dino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/vit_base_patch16_224.dino with timm:
import timm model = timm.create_model("hf_hub:timm/vit_base_patch16_224.dino", pretrained=True) - Transformers
How to use timm/vit_base_patch16_224.dino with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/vit_base_patch16_224.dino")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/vit_base_patch16_224.dino", dtype="auto") - Notebooks
- Google Colab
- Kaggle
transformers tag
Browse files
README.md
CHANGED
|
@@ -4,6 +4,7 @@ library_name: timm
|
|
| 4 |
tags:
|
| 5 |
- image-feature-extraction
|
| 6 |
- timm
|
|
|
|
| 7 |
---
|
| 8 |
# Model card for vit_base_patch16_224.dino
|
| 9 |
|
|
|
|
| 4 |
tags:
|
| 5 |
- image-feature-extraction
|
| 6 |
- timm
|
| 7 |
+
- transformers
|
| 8 |
---
|
| 9 |
# Model card for vit_base_patch16_224.dino
|
| 10 |
|