Instructions to use the-clueless-classifier/SCUTFVD-resnet50-fold01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use the-clueless-classifier/SCUTFVD-resnet50-fold01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="the-clueless-classifier/SCUTFVD-resnet50-fold01") 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-fold01") model = AutoModelForImageClassification.from_pretrained("the-clueless-classifier/SCUTFVD-resnet50-fold01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02cbcccfc73bae4e90642cab6c17392a719d2ffc83ea7a26c873d1c1508e1951
- Size of remote file:
- 5.2 kB
- SHA256:
- 2c109660768fa7eac7fc8741d37721fd3fdab2698fef9a0643ec7a346e637a2c
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