Instructions to use MeghaMurali/videomae-base-foodpickup-customdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MeghaMurali/videomae-base-foodpickup-customdata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="MeghaMurali/videomae-base-foodpickup-customdata")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("MeghaMurali/videomae-base-foodpickup-customdata") model = AutoModelForVideoClassification.from_pretrained("MeghaMurali/videomae-base-foodpickup-customdata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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