Instructions to use mashey/mms-tts-div-finetuned-md-m01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mashey/mms-tts-div-finetuned-md-m01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="mashey/mms-tts-div-finetuned-md-m01")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("mashey/mms-tts-div-finetuned-md-m01") model = AutoModelForTextToWaveform.from_pretrained("mashey/mms-tts-div-finetuned-md-m01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2e6191ca333455feca70e7b563642ae07a91dccb15fba2b907022ebaa0d9f5a
- Size of remote file:
- 145 MB
- SHA256:
- 33e8e5530ad20ca52b14f125f667948638028608367081483bb3488eff85e8d6
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