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
| language: | |
| - en | |
| license: apache-2.0 | |
| base_model: ranupthestairs/vocence-tts | |
| library_name: transformers | |
| pipeline_tag: text-to-speech | |