Instructions to use Wvolf/ViT_Deepfake_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wvolf/ViT_Deepfake_Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Wvolf/ViT_Deepfake_Detection") 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("Wvolf/ViT_Deepfake_Detection") model = AutoModelForImageClassification.from_pretrained("Wvolf/ViT_Deepfake_Detection") - Inference
- Notebooks
- Google Colab
- Kaggle
Delete pytorch_model.bin
Browse files- pytorch_model.bin +0 -3
pytorch_model.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:7a653ae69f0c39545941da9b7d6ea309aa81c7d69946cdf06f4ea10b6a24eb0d
|
| 3 |
-
size 343268717
|
|
|
|
|
|
|
|
|
|
|
|