Instructions to use der02/sinama-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use der02/sinama-translator with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://der02/sinama-translator") - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +8 -0
config.json
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{
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"sample_rate": 22050,
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"duration": 4.0,
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"n_mels": 128,
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"n_fft": 2048,
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"hop_length": 512,
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"use_mfcc": false
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}
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