Instructions to use Shawon16/VideoMAE_BdSLW60_FrameRateCorrected_withAug_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shawon16/VideoMAE_BdSLW60_FrameRateCorrected_withAug_100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Shawon16/VideoMAE_BdSLW60_FrameRateCorrected_withAug_100")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/VideoMAE_BdSLW60_FrameRateCorrected_withAug_100") model = AutoModelForVideoClassification.from_pretrained("Shawon16/VideoMAE_BdSLW60_FrameRateCorrected_withAug_100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 13
Browse files- model.safetensors +1 -1
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