Instructions to use BDRC/ScriptClassifier_Simple_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BDRC/ScriptClassifier_Simple_v1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://BDRC/ScriptClassifier_Simple_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec67aeea40be4e8550490bc8e827c26f5014d1e9378e6e86b931fdfc1716fbc7
- Size of remote file:
- 351 MB
- SHA256:
- 9fa45068aa51b5001c693b8d3b937ebee87e68f982844c59298f737d6b8625e9
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