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:
- d2778e0da12676c9b6aef2d1087d257ad831a7b20f5919b99afb71ea0c10dce4
- Size of remote file:
- 57 Bytes
- SHA256:
- 783209eb0e4d77467c161cb1f99cd5a474bb1f0bcf3dbec5660f781e3339185d
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