Instructions to use google/vivit-b-16x2-kinetics400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/vivit-b-16x2-kinetics400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="google/vivit-b-16x2-kinetics400")# Load model directly from transformers import AutoImageProcessor, ViViTForVideoClassification processor = AutoImageProcessor.from_pretrained("google/vivit-b-16x2-kinetics400") model = ViViTForVideoClassification.from_pretrained("google/vivit-b-16x2-kinetics400") - Notebooks
- Google Colab
- Kaggle
QORA-Vision (Video) - Native Rust Video Classifier based on ViViT
#5 opened 3 months ago
by
drdraq
why vivit in huggingface has no factorized encoders and so on?
1
#4 opened almost 2 years ago
by
tsaganshosg
Adding `safetensors` variant of this model
#3 opened about 2 years ago
by
SFconvertbot
can't find the model in transformers
1
#1 opened about 3 years ago
by
HLLL