Instructions to use ves02/tmp-pl-image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ves02/tmp-pl-image-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ves02/tmp-pl-image-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("ves02/tmp-pl-image-classification") model = AutoModelForImageClassification.from_pretrained("ves02/tmp-pl-image-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfc9b3dd8dff363b204a2f3e450e9a84837b33af757a9fd3aceafe2b940434d3
- Size of remote file:
- 354 MB
- SHA256:
- 9d610857ec4e2ebb6c987e796c64f898526e2e447c5ea38cf528ec6bd1492caf
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