Instructions to use Recompense/FoodVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Recompense/FoodVision with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Recompense/FoodVision") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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<p><a href="https://huggingface.co/spaces/Recompense/FoodVision" style="color:hotpink; font-weight:bold;">Use it here</a></p>
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<h1 style="color:purple; font-weight: bold;">⚛️ HuggingFace Space for Food Vision Model</h1>
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<p><a href="https://huggingface.co/spaces/Recompense/FoodVision" style="color:hotpink; font-weight:bold;">Use it here</a></p>
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