Instructions to use michael-chan-000/tts-m-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michael-chan-000/tts-m-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="michael-chan-000/tts-m-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("michael-chan-000/tts-m-v2") model = AutoModelForCausalLM.from_pretrained("michael-chan-000/tts-m-v2") - Notebooks
- Google Colab
- Kaggle
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Model tree for michael-chan-000/tts-m-v2
Base model
ranupthestairs/vocence-tts