Instructions to use Frodnar/bee-likes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Frodnar/bee-likes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Frodnar/bee-likes") 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("Frodnar/bee-likes") model = AutoModelForImageClassification.from_pretrained("Frodnar/bee-likes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/hoverfly.jpg from Frodnar/bee-likes: direct link, hf CLI and curl.
- Browser
- Download file 18.9 kB
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https://huggingface.co/Frodnar/bee-likes/resolve/main/images/hoverfly.jpg
- Command line
-
hf download hf://Frodnar/bee-likes/images/hoverfly.jpg
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curl -L -o hoverfly.jpg https://huggingface.co/Frodnar/bee-likes/resolve/main/images/hoverfly.jpg
18.9 kB
