Instructions to use nguyenkhoa/dinov2_Liveness_detection_v2.2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyenkhoa/dinov2_Liveness_detection_v2.2.3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nguyenkhoa/dinov2_Liveness_detection_v2.2.3") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("nguyenkhoa/dinov2_Liveness_detection_v2.2.3") model = AutoModelForImageClassification.from_pretrained("nguyenkhoa/dinov2_Liveness_detection_v2.2.3") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 448
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 88257824
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:804a88acbd0e9dae94ab5c8f4df0fd55f40678f463aeb43400fc8be83a60355b
|
| 3 |
size 88257824
|
runs/Jan23_07-23-59_e157cb7906f9/events.out.tfevents.1737617046.e157cb7906f9.18.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af8a4aaf20149f30677c25433a65afcfe069a893d9bc7e8c3a4dd156aea68069
|
| 3 |
+
size 10342
|