Instructions to use czyzi0/MozillaSpeakerEncoderModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use czyzi0/MozillaSpeakerEncoderModels with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("czyzi0/MozillaSpeakerEncoderModels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download mozilla_128.pth.tar from czyzi0/MozillaSpeakerEncoderModels: direct link, hf CLI and curl.
- Browser
- Download file 28.6 MB
-
https://huggingface.co/czyzi0/MozillaSpeakerEncoderModels/resolve/main/mozilla_128.pth.tar
- Command line
-
hf download hf://czyzi0/MozillaSpeakerEncoderModels/mozilla_128.pth.tar
-
curl -L -o mozilla_128.pth.tar https://huggingface.co/czyzi0/MozillaSpeakerEncoderModels/resolve/main/mozilla_128.pth.tar
28.6 MB
- Xet hash:
- 902c3c2b66fe553e71b7e290d73d27f245527bdc924dba540251085dd206400a
- Size of remote file:
- 28.6 MB
- SHA256:
- 0ca79e5c631105dfa34cf221bc8349ae739085c4b1fe1acba8d62302b09e8379
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