Instructions to use Arigadam/img2float with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Arigadam/img2float with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Arigadam/img2float") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Model description
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### the hepler function
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(requirements: `numpy Pillow`)
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```python
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## Model description
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A very simple model that converts an image into a number!
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### the hepler function
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(requirements: `numpy Pillow`)
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```python
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