Instructions to use jaketae/fastspeech2-ljspeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaketae/fastspeech2-ljspeech with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jaketae/fastspeech2-ljspeech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
chore: upload model weight
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:44e8226cb5858b30726dd189410166bbc910b92ffa45c0b567634325c2feec02
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size 166027509
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