Instructions to use apjanco/candy-first with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apjanco/candy-first with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="apjanco/candy-first") 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("apjanco/candy-first") model = AutoModelForImageClassification.from_pretrained("apjanco/candy-first") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb6bf63debc3806d9879ce03b0ae3a2fb5b655ba4ad8c24024eab0b48ca73f66
- Size of remote file:
- 343 MB
- SHA256:
- cf2f302b2d688b9ee2e565c4d06a16f3535cec58eb2ee09e4d552aa24722973d
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