Instructions to use nonsodev/datrix-test-image-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-test-image-cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nonsodev/datrix-test-image-cls") 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("nonsodev/datrix-test-image-cls") model = AutoModelForImageClassification.from_pretrained("nonsodev/datrix-test-image-cls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67678fba78725936863a4f8563a933da1160fea415d740b6dd5d4ce6c09e3234
- Size of remote file:
- 5.27 kB
- SHA256:
- 158af02314c623703d03bd93d8627a5ff483fe7ed7e7d438cf9f4ffe30e8d5be
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