Instructions to use fxmarty/resnet-tiny-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/resnet-tiny-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fxmarty/resnet-tiny-beans") 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("fxmarty/resnet-tiny-beans") model = AutoModelForImageClassification.from_pretrained("fxmarty/resnet-tiny-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.onnx from fxmarty/resnet-tiny-beans: direct link, hf CLI and curl.
- Browser
- Download file 761 kB
-
https://huggingface.co/fxmarty/resnet-tiny-beans/resolve/main/model.onnx
- Command line
-
hf download hf://fxmarty/resnet-tiny-beans/model.onnx
-
curl -L -o model.onnx https://huggingface.co/fxmarty/resnet-tiny-beans/resolve/main/model.onnx
761 kB
- Xet hash:
- 22dc7ac0a790488b5d7141a2fb9df2c3a4b63798a2f6551561676abadbff5cff
- Size of remote file:
- 761 kB
- SHA256:
- cf2b1901da25924f8b68a4c9cec74b5a673f12d2b9dead57c2488d400dd2a2b5
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