Instructions to use aitf-komdigi/KomdigiUB-Gambling-Classifier-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aitf-komdigi/KomdigiUB-Gambling-Classifier-ViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aitf-komdigi/KomdigiUB-Gambling-Classifier-ViT") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("aitf-komdigi/KomdigiUB-Gambling-Classifier-ViT") model = AutoModelForImageClassification.from_pretrained("aitf-komdigi/KomdigiUB-Gambling-Classifier-ViT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fdb1f01f7edd8c3ec612e6e621f1229263ac350129daf13dd31d64a7420d34a
- Size of remote file:
- 5.78 kB
- SHA256:
- 6f1e8b96d6ba9f7c43ea4e491bd1d756184d0d94c34a28980506611bc8a41735
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