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", device_map="auto") - 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 sha256:92468628a2d606cf512083a0117a1862501a725305b5d203c40166c289c03992
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size 344943528
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