Instructions to use koya1/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use koya1/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="koya1/videomae-base-finetuned-ucf101-subset")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("koya1/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("koya1/videomae-base-finetuned-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
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runs/Mar28_08-33-45_e2aeee7d5657/events.out.tfevents.1679992724.e2aeee7d5657.589.0
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