Text-to-Speech
Transformers
TensorBoard
Safetensors
Japanese
mamba2_s2s
text2text-generation
automatic-speech-recognition
mamba2
state-space-model
japanese
neural-audio-codec
custom_code
Instructions to use telecomadm1145/Kiseki-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use telecomadm1145/Kiseki-TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="telecomadm1145/Kiseki-TTS", trust_remote_code=True)# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("telecomadm1145/Kiseki-TTS", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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