Instructions to use seige-ml/DeepSeeNet_PIGMENT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use seige-ml/DeepSeeNet_PIGMENT with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://seige-ml/DeepSeeNet_PIGMENT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc9ed54cd37769f8d3ebf21d6f92822ad8fc148c5984d6d48b4b74a0c9e2da56
- Size of remote file:
- 711 kB
- SHA256:
- 335c387e1f26be5bfc4fde08b5ef77438fc57ecf25dabee83c2dcc58adc97a23
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