Instructions to use bhaswata08/MAEFORMER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhaswata08/MAEFORMER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="bhaswata08/MAEFORMER")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("bhaswata08/MAEFORMER") model = AutoModelForVideoClassification.from_pretrained("bhaswata08/MAEFORMER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed43e68bf841719459ad957082715dbed22ed8d5fd1c058720d79f3627362e55
- Size of remote file:
- 4.92 kB
- SHA256:
- 4cedbe923c1a1d21530aec0fc175becc3bc90e28a63a747b89f774aad6c66861
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