Feature Extraction
LiteRT
LiteRT
English
audio
speaker-verification
speaker-embedding
voice-authentication
quantized
dynamic-range-quantization
Instructions to use pat229988/speaker-embedding-w2v-bert-tflite-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use pat229988/speaker-embedding-w2v-bert-tflite-dynamic with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download speaker_features_to_embedding.tflite from pat229988/speaker-embedding-w2v-bert-tflite-dynamic: direct link, hf CLI and curl.
- Browser
- Download file 840 MB
-
https://huggingface.co/pat229988/speaker-embedding-w2v-bert-tflite-dynamic/resolve/main/speaker_features_to_embedding.tflite
- Command line
-
hf download hf://pat229988/speaker-embedding-w2v-bert-tflite-dynamic/speaker_features_to_embedding.tflite
-
curl -L -o speaker_features_to_embedding.tflite https://huggingface.co/pat229988/speaker-embedding-w2v-bert-tflite-dynamic/resolve/main/speaker_features_to_embedding.tflite
840 MB
- Xet hash:
- 37195ead412b84575e4f5c4df825f658c0b5d1eb72a28353c59428b02b2dd5fc
- Size of remote file:
- 840 MB
- SHA256:
- a6dc7a7c064a30c9b24383bccae2886733b0bcca46f87dbdcdc0a0738af1836b
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