Image Classification
Transformers
Safetensors
vit
image-classification, screenshots detection
Generated from Trainer
Instructions to use al-css/Screenshots_detection_to_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use al-css/Screenshots_detection_to_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="al-css/Screenshots_detection_to_classification") 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("al-css/Screenshots_detection_to_classification") model = AutoModelForImageClassification.from_pretrained("al-css/Screenshots_detection_to_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41fa9b74688c99b79f0a683144e26cc569cdb72b88d2e4460ce3cd3a2e4a775c
- Size of remote file:
- 5.18 kB
- SHA256:
- 91884abea5a0b0b521975ef4eedf786c86a518ae88b080ab57308aeb278e64b4
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