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:
- 6b8aab9b07472899b94abbbce13ecec7da4886b50644e2a4d8d0422b2f62f0e8
- Size of remote file:
- 247 kB
- SHA256:
- 9c869508a24fa399198cd553ef757358210f33d81e35fe358d78eb050b67d652
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