Instructions to use Tejdeep/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tejdeep/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Tejdeep/videomae-base-finetuned-ucf101-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Tejdeep/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("Tejdeep/videomae-base-finetuned-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2131edce0d33aca4bbc0dad21c602d4397a676a04685e72d6b7e964563da371
- Size of remote file:
- 3.96 kB
- SHA256:
- baf8b64c46ce857b76dcc2ec403fd51a1c9d51cf79c5aacffaf02e8bf94c043e
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