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:
- e0df169de91560625d36c4da3476b5c32353dafc2e9b46da8693cfecd0d09c11
- Size of remote file:
- 3.96 kB
- SHA256:
- aee36a87e33d59d09ddd148553658995d4237b0b3f0fda90ee13a3cffd4b6535
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