Instructions to use Marc432/vozmarc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use Marc432/vozmarc with ESPnet:
from espnet2.bin.tts_inference import Text2Speech model = Text2Speech.from_pretrained("Marc432/vozmarc") speech, *_ = model("text to generate speech from") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - openai/MMMLU | |
| language: | |
| - an | |
| metrics: | |
| - character | |
| base_model: | |
| - openai/whisper-large-v3-turbo | |
| new_version: openai/whisper-large-v3-turbo | |
| pipeline_tag: text-to-speech | |
| library_name: espnet | |
| tags: | |
| - code | |