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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("apjanco/candy-first") model = AutoModelForImageClassification.from_pretrained("apjanco/candy-first", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/twizzlers.jpg from apjanco/candy-first: direct link, hf CLI and curl.
- Browser
- Download file 13 kB
-
https://huggingface.co/apjanco/candy-first/resolve/main/images/twizzlers.jpg
- Command line
-
hf download hf://apjanco/candy-first/images/twizzlers.jpg
-
curl -L -o twizzlers.jpg https://huggingface.co/apjanco/candy-first/resolve/main/images/twizzlers.jpg
13 kB

- Xet hash:
- 401f722714105c5d8848a60644ca1d595574ff3a80bd64c3ea6cc0343c1d0c4d
- Size of remote file:
- 13 kB
- SHA256:
- fe293860230ac714b52b4cd71b88d1c967f6dc0c42516a05c80f227fe8f00d83
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