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:
- 27c7693148f75371c0e296fd4d343983b3c0f762651e3dd63dfba854505bde11
- Size of remote file:
- 104 MB
- SHA256:
- c33d00002d43f0be03c2270efa22e58bb3907fe8ff8bf5b51a3152f64913b476
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