Instructions to use yuuhan/videomae-base-lora-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuuhan/videomae-base-lora-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="yuuhan/videomae-base-lora-ucf101-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("yuuhan/videomae-base-lora-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("yuuhan/videomae-base-lora-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa2d92c509537df7f5fce64639ba918a510c43d4284f212724a0cc01dd550bd8
- Size of remote file:
- 364 MB
- SHA256:
- 35b8c95d2c5d7b8c583da2e3d4c47f1d9bc756028093c7f7239f40cbe99c0c2f
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