Instructions to use keras-io/english-speaker-accent-recognition-using-transfer-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/english-speaker-accent-recognition-using-transfer-learning 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("keras-io/english-speaker-accent-recognition-using-transfer-learning") - Notebooks
- Google Colab
- Kaggle
Download model.png from keras-io/english-speaker-accent-recognition-using-transfer-learning: direct link, hf CLI and curl.
- Browser
- Download file 21.2 kB
-
https://huggingface.co/keras-io/english-speaker-accent-recognition-using-transfer-learning/resolve/4b15afc3126a4c9864e23a88802e0c7594457547/model.png
- Command line
-
hf download hf://keras-io/english-speaker-accent-recognition-using-transfer-learning@4b15afc3126a4c9864e23a88802e0c7594457547/model.png
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curl -L -o model.png https://huggingface.co/keras-io/english-speaker-accent-recognition-using-transfer-learning/resolve/4b15afc3126a4c9864e23a88802e0c7594457547/model.png
21.2 kB

- Xet hash:
- 6836e1dcbb13008e41e7e005fb0cc2ba2eea935fe05ea90e9d7467b8bfb0ac15
- Size of remote file:
- 21.2 kB
- SHA256:
- d56bfb2e6633e3066fa04bcfbf60e945b45cc6cb2ebc6c37ef224ed95e8f7e9b
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