Instructions to use zahrav/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zahrav/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="zahrav/videomae-base-finetuned-ucf101-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("zahrav/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("zahrav/videomae-base-finetuned-ucf101-subset") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.2, | |
| "eval_accuracy": 0.896774193548387, | |
| "eval_loss": 0.2612727880477905, | |
| "eval_runtime": 28.5494, | |
| "eval_samples_per_second": 5.429, | |
| "eval_steps_per_second": 1.366 | |
| } |