Instructions to use Babaili/videomae-base-finetuned-cropped-shooting-and-layup-dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babaili/videomae-base-finetuned-cropped-shooting-and-layup-dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Babaili/videomae-base-finetuned-cropped-shooting-and-layup-dataset")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Babaili/videomae-base-finetuned-cropped-shooting-and-layup-dataset") model = AutoModelForVideoClassification.from_pretrained("Babaili/videomae-base-finetuned-cropped-shooting-and-layup-dataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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