Instructions to use the-clueless-classifier/SCUTFVD-resnet50-fold02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use the-clueless-classifier/SCUTFVD-resnet50-fold02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="the-clueless-classifier/SCUTFVD-resnet50-fold02") 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("the-clueless-classifier/SCUTFVD-resnet50-fold02") model = AutoModelForImageClassification.from_pretrained("the-clueless-classifier/SCUTFVD-resnet50-fold02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7425219e5d96373ce7f4cbdae4e32506f9ead9cb611f22eb33962d8a647404c8
- Size of remote file:
- 104 MB
- SHA256:
- 05244ae5b81c3155904e80b74d81ac532061dba9ce7b4351259160665852d89e
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