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
Upload folder using huggingface_hub
#7 opened almost 3 years ago
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roam1
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guineapig25
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Ehoil
Upload folder using huggingface_hub
#4 opened almost 3 years ago
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Ehoil
Upload folder using huggingface_hub
#3 opened almost 3 years ago
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trouvaille-k
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot