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), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras 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:
# !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://SpeechFlow/spoken_language_identification") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from SpeechFlow/spoken_language_identification: direct link, hf CLI and curl.
- Browser
- Download file 1.23 MB
-
https://huggingface.co/SpeechFlow/spoken_language_identification/resolve/refs%2Fpr%2F2/saved_model.pb
- Command line
-
hf download hf://SpeechFlow/spoken_language_identification@refs/pr/2/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/SpeechFlow/spoken_language_identification/resolve/refs%2Fpr%2F2/saved_model.pb
1.23 MB
- Xet hash:
- d34c7a30d4e283ad12ac4af4c6b8dd689d28d1a307d08bd152dbc63cb18feaa9
- Size of remote file:
- 1.23 MB
- SHA256:
- 36b6bdd44c8805e74110426bc494ffb366b8b21fbe8aa316443cc205e95ebfde
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