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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" 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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