Instructions to use Derur/silero-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Derur/silero-models 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("Derur/silero-models") - Notebooks
- Google Colab
- Kaggle
Download ru_stt_text_normalization/ru_stt_text_normalization.7z from Derur/silero-models: direct link, hf CLI and curl.
- Browser
- Download file 3.16 MB
-
https://huggingface.co/Derur/silero-models/resolve/main/ru_stt_text_normalization/ru_stt_text_normalization.7z
- Command line
-
hf download hf://Derur/silero-models/ru_stt_text_normalization/ru_stt_text_normalization.7z
-
curl -L -o ru_stt_text_normalization.7z https://huggingface.co/Derur/silero-models/resolve/main/ru_stt_text_normalization/ru_stt_text_normalization.7z
3.16 MB
- Xet hash:
- 0bf40a193bd6bbeb91e3ece3f39c4e5a08ae22719a5fa3f4ded54b2a0d355e2c
- Size of remote file:
- 3.16 MB
- SHA256:
- 052f4f10e225266c2bdff939d2bd5459699b74082b54e173646867421f20a80f
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