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
File size: 128 Bytes
8eae9a8 | 1 2 3 4 5 6 7 8 | {
"sample_rate": 22050,
"duration": 4.0,
"n_mels": 128,
"n_fft": 2048,
"hop_length": 512,
"use_mfcc": false
} |