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:
- 01a1adbeeaf4af65faadc726f3a0ace13c7f960a4255b4d299dccf362e2b0483
- Size of remote file:
- 345 MB
- SHA256:
- c66ae869ce7c19aaf0c18826fb8e62bcc4368c2d79e87a07723b4ba56fb1d9ce
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