Instructions to use Suru/FruitModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suru/FruitModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Suru/FruitModel") 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("Suru/FruitModel") model = AutoModelForImageClassification.from_pretrained("Suru/FruitModel") - Notebooks
- Google Colab
- Kaggle
Commit ·
ef9ae03
1
Parent(s): efd2ccd
Adding `safetensors` variant of this model (#2)
Browse files- Adding `safetensors` variant of this model (0650c5faf2e99a6163eea04c7db672a008acab7a)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:38e1e0d5cb6775ed3b15639504221c65890813c8c8ceebe20fe6f3ecca1f938c
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size 343223968
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