Instructions to use Renderlib-dev/sooktam2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Renderlib-dev/sooktam2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Renderlib-dev/sooktam2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Renderlib-dev/sooktam2", trust_remote_code=True, dtype="auto") - F5-TTS
How to use Renderlib-dev/sooktam2 with F5-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 321 Bytes
bccbc5b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"model_type": "f5_tts",
"model_name": "F5TTS_v1_Base",
"ckpt_file": "model_1250000.pt",
"vocab_file": "vocab.txt",
"ode_method": "euler",
"use_ema": true,
"auto_map": {
"AutoConfig": "hf_auto.F5TTSConfig",
"AutoModel": "hf_auto.F5TTSAutoModel",
"AutoTokenizer": "hf_auto.F5TTSTokenizer"
}
}
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