Instructions to use facebook/dinov2-giant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov2-giant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov2-giant")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov2-giant") model = AutoModel.from_pretrained("facebook/dinov2-giant") - Notebooks
- Google Colab
- Kaggle
Upload safetensors version (#1)
Browse files- Upload safetensors version (c17e1707f9be5e3e6577a350e193e059bcda727a)
Co-authored-by: Pedro Cuenca <pcuenq@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:917d3c470db999d32a312f8542149be91c7cbac61ee8fb4b67ae3d82b79ce21f
|
| 3 |
+
size 4546005432
|