Instructions to use hriteshMaikap/languageClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hriteshMaikap/languageClassifier with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://hriteshMaikap/languageClassifier") - Notebooks
- Google Colab
- Kaggle
Upload config_mtm.json with huggingface_hub
Browse files- config_mtm.json +11 -0
config_mtm.json
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{
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"n_mfcc": 13,
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"max_pad_len": 174,
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"feature_type": "mfcc_delta",
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"n_features_input": 39,
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"class_labels": [
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"Malayalam",
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"Marathi",
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"Telugu"
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]
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}
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