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
| { | |
| "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" | |
| } | |
| } | |