Instructions to use MCG-NJU/videomae-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MCG-NJU/videomae-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="MCG-NJU/videomae-base")# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("MCG-NJU/videomae-base") model = AutoModelForPreTraining.from_pretrained("MCG-NJU/videomae-base") - Notebooks
- Google Colab
- Kaggle
Overfitting in VideoMAE Model Fine-Tuning for Binary Classification on Home Camera Footage
2
#4 opened over 1 year ago
by
candido-ai
VideoMAEV2
2
#2 opened over 2 years ago
by
tljstewart
[CLS] Token
👍 2
1
#1 opened over 3 years ago
by
insaf-im