Text-to-Speech
Transformers
Safetensors
audiodit
feature-extraction
audio
tts
environmental-tts
flow-matching
dit
custom_code
Instructions to use ChristianYang/LongCat-AudioDiT-Env-TTS-1B-5000Step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChristianYang/LongCat-AudioDiT-Env-TTS-1B-5000Step with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ChristianYang/LongCat-AudioDiT-Env-TTS-1B-5000Step", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChristianYang/LongCat-AudioDiT-Env-TTS-1B-5000Step", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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