Text-to-Speech
Transformers
Safetensors
English
German
moss_tts_local
feature-extraction
voice-acting
speech-synthesis
moss
emotion
voice-cloning
dpo
custom_code
Instructions to use laion/moss-tts-local-transformer-4.55b-voice-acting-v2-sft-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laion/moss-tts-local-transformer-4.55b-voice-acting-v2-sft-dpo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="laion/moss-tts-local-transformer-4.55b-voice-acting-v2-sft-dpo", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("laion/moss-tts-local-transformer-4.55b-voice-acting-v2-sft-dpo", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "source": "/e/data1/datasets/playground/mmlaion/schuhmann1/dramabox/train/out/dpofull/ckpt-step123/model", | |
| "base": "/e/data1/datasets/playground/mmlaion/schuhmann1/dramabox/train/publish/sft_export/model", | |
| "tensors_changed": 357, | |
| "tensors_total": 425, | |
| "max_relative_delta": 0.0017006802721088435, | |
| "embedding_tensors_changed": 13 | |
| } |