Instructions to use ManuD/videomae-base-finetuned-dfl_clips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManuD/videomae-base-finetuned-dfl_clips with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="ManuD/videomae-base-finetuned-dfl_clips")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("ManuD/videomae-base-finetuned-dfl_clips") model = AutoModelForVideoClassification.from_pretrained("ManuD/videomae-base-finetuned-dfl_clips") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 444c59cae067aa88985fbfed36bd3d96ab1345c9d43c4e515f2e7d99e39bc1e1
- Size of remote file:
- 3.45 kB
- SHA256:
- 423123522579ffde2feafa1ee0cd2f40f3830247d27297646cd26e6fa276f25d
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