Instructions to use espnet/fastspeech2_conformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use espnet/fastspeech2_conformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="espnet/fastspeech2_conformer")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToSpectrogram tokenizer = AutoTokenizer.from_pretrained("espnet/fastspeech2_conformer") model = AutoModelForTextToSpectrogram.from_pretrained("espnet/fastspeech2_conformer") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": "<sos/eos>", | |
| "eos_token": "<sos/eos>", | |
| "pad_token": "<blank>", | |
| "unk_token": "<unk>" | |
| } | |