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
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Download README.md from fxmarty/resnet-tiny-beans: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
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https://huggingface.co/fxmarty/resnet-tiny-beans/resolve/main/README.md
- Command line
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hf download hf://fxmarty/resnet-tiny-beans/README.md
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curl -L -o README.md https://huggingface.co/fxmarty/resnet-tiny-beans/resolve/main/README.md
116 Bytes
metadata
license: apache-2.0
A model trained on the beans dataset, just for testing and having a really tiny model.