Instructions to use facebook/timesformer-base-finetuned-k400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/timesformer-base-finetuned-k400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="facebook/timesformer-base-finetuned-k400")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("facebook/timesformer-base-finetuned-k400") model = AutoModelForVideoClassification.from_pretrained("facebook/timesformer-base-finetuned-k400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 278136f1d1dc469027e2322c33f0a888b52ada8ea05da9a16470892e8c28d34f
- Size of remote file:
- 486 MB
- SHA256:
- bdb264469ffc423fb86c78932268a290bfbd69bd768b7ce8595c047a2dc54089
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