Instructions to use keras-io/transformer_asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/transformer_asr 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("keras-io/transformer_asr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0323b496ff0b9307e018b79858d040feaa870fbd113a3bf43263b2411eb0e9a
- Size of remote file:
- 2.6 MB
- SHA256:
- 2aae198767b1cac3486245bad58817bcdea1bfe402267e286e6b627955b077f8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.