Instructions to use steveice/videomae-base-finetuned-engine-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steveice/videomae-base-finetuned-engine-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="steveice/videomae-base-finetuned-engine-subset")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("steveice/videomae-base-finetuned-engine-subset") model = AutoModelForVideoClassification.from_pretrained("steveice/videomae-base-finetuned-engine-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
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update model card README.md
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Training in progress, epoch 3
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Training in progress, epoch 2
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Training in progress, epoch 1
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Training in progress, epoch 0
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Training in progress, epoch 0
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initial commit
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