Text-to-Speech
Transformers
Safetensors
kugelaudio
text-generation
tts
speech-synthesis
voice-cloning
german
european-languages
Instructions to use Roland-JAAI/klonaudio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roland-JAAI/klonaudio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Roland-JAAI/klonaudio")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Roland-JAAI/klonaudio", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_class": "KugelAudioTextTokenizer", | |
| "auto_map": { | |
| "AutoTokenizer": ["kugelaudio_open.processors.text_tokenizer.KugelAudioTextTokenizer", null] | |
| }, | |
| "model_max_length": 32768, | |
| "unk_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|endoftext|>", | |
| "bos_token": null, | |
| "add_prefix_space": false, | |
| "clean_up_tokenization_spaces": false | |
| } | |