Text-to-Speech
Transformers
ONNX
Safetensors
multilingual
t5
text2text-generation
g2p
grapheme-to-phoneme
ipa
accessibility
byt5
text-generation-inference
Instructions to use willwade/byt5-g2p-multilingual-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use willwade/byt5-g2p-multilingual-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="willwade/byt5-g2p-multilingual-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("willwade/byt5-g2p-multilingual-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("willwade/byt5-g2p-multilingual-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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