Instructions to use BlakeMartin/BeanDetect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlakeMartin/BeanDetect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BlakeMartin/BeanDetect") 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("BlakeMartin/BeanDetect") model = AutoModelForImageClassification.from_pretrained("BlakeMartin/BeanDetect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ea050456fea6fdf900917271a91b733ee695ed811ae1bd2fa2bf06f35f0043a
- Size of remote file:
- 3.39 kB
- SHA256:
- b32b37ee2c881b1681ed8fa5917a9ffb2ea83336e547c55936c3358445f3cba7
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