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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d9c882e213c81944d68f0ec406f3d5b1a3cb774ccb1c4a960db7b21b2052d17
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size 344977364
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