Instructions to use raza9272/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raza9272/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="raza9272/videomae-base-finetuned-ucf101-subset")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("raza9272/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("raza9272/videomae-base-finetuned-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
1dd1534 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b07b86560f5c9453360c9cb6162cf780e1ae87f7c65e5a84fd04f87dc374a57f
size 5841
|