Instructions to use Naveengo/nonviolence-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Naveengo/nonviolence-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Naveengo/nonviolence-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Naveengo/nonviolence-subset") model = AutoModelForVideoClassification.from_pretrained("Naveengo/nonviolence-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e1c382f2a15d4955eb3f1987a091ae08eb6bc0baf4ff573c51118287bb01d88
- Size of remote file:
- 4.22 kB
- SHA256:
- 010c687e5ce06590fd7bbc7d4fd9292fa46fc411f5c94cf969a4b096f4b9084b
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