Video Classification
Transformers
PyTorch
English
afmoe
deepfake-detection
clip
vit
spatiotemporal-adapters
bf16
reproducibility
Instructions to use Begrudging/deepfake-detector-dfd-sota with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Begrudging/deepfake-detector-dfd-sota with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Begrudging/deepfake-detector-dfd-sota")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Begrudging/deepfake-detector-dfd-sota", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
8c0f831 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0ec26a4a79ee33a38d725ed2240606fa451397ec5262f2f28fbbed1ac46ddc2f
size 1275974413
|