Text-to-Speech
Transformers
Safetensors
English
gdflowtts
feature-extraction
audio
speech
tts
zero-shot
voice-cloning
discrete-flow-matching
neucodec
custom_code
Instructions to use alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS: direct link, hf CLI and curl.
- Browser
- Download file 315 Bytes
-
https://huggingface.co/alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS/resolve/main/tokenizer_config.json
315 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 1024, | |
| "pad_token": null, | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |