Instructions to use Siccimo/videomae-base-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siccimo/videomae-base-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Siccimo/videomae-base-finetuned")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Siccimo/videomae-base-finetuned") model = AutoModelForVideoClassification.from_pretrained("Siccimo/videomae-base-finetuned") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForVideoClassification
processor = AutoImageProcessor.from_pretrained("Siccimo/videomae-base-finetuned")
model = AutoModelForVideoClassification.from_pretrained("Siccimo/videomae-base-finetuned")Quick Links
No model card
- Downloads last month
- 1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Siccimo/videomae-base-finetuned")