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
File size: 338 Bytes
c2feebc | 1 2 3 4 5 6 7 8 | {
"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
} |