Instructions to use Shawon16/ViViT_lsa64_coR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shawon16/ViViT_lsa64_coR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Shawon16/ViViT_lsa64_coR")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/ViViT_lsa64_coR") model = AutoModelForVideoClassification.from_pretrained("Shawon16/ViViT_lsa64_coR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ae5eec213bbb948d7fafffb4b63de0a03d9615c44b2f4f06fff693d0de939d2
- Size of remote file:
- 246 kB
- SHA256:
- b2c860e0e981fdaf11eec947e6b9b52e8ad1ab37a3c71b0f5eb42c35c26c498f
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