Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

SpeechFlow
/
spoken_language_identification

Audio Classification
TF-Keras
Keras
tensorflow
Model card Files Files and versions
xet
Community
2

Instructions to use SpeechFlow/spoken_language_identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • TF-Keras

    How to use SpeechFlow/spoken_language_identification with TF-Keras:

    # Note: 'keras<3.x' or 'tf_keras' must be installed (legacy)
    # See https://github.com/keras-team/tf-keras for more details.
    from huggingface_hub import from_pretrained_keras
    
    model = from_pretrained_keras("SpeechFlow/spoken_language_identification")
    
  • Keras

    How to use SpeechFlow/spoken_language_identification with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://SpeechFlow/spoken_language_identification")
    
  • Notebooks
  • Google Colab
  • Kaggle
spoken_language_identification
5.43 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 51 commits
Wauplin's picture
Wauplin HF Staff
Set `library_name` to `tf-keras`.
0aa87f2 verified almost 2 years ago
  • variables
    Add pb model about 3 years ago
  • .gitattributes
    1.71 kB
    add test audios about 3 years ago
  • README.md
    1.72 kB
    Set `library_name` to `tf-keras`. almost 2 years ago
  • saved_model.pb
    1.23 MB
    xet
    Add pb model about 3 years ago