Text-to-Speech
Transformers
Safetensors
audiodit
feature-extraction
audio
tts
environmental-tts
flow-matching
dit
custom_code
Instructions to use humanify/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 humanify/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="humanify/LongCat-AudioDiT-Env-TTS-1B-5000Step", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("humanify/LongCat-AudioDiT-Env-TTS-1B-5000Step", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6979ef6f3e0680fdde58da3e50f8dd39b667e57b6025c1be4df2545c63a30c71
- Size of remote file:
- 682 MB
- SHA256:
- d8850ccb7dc9da81df2c8066d943358622a890090127d95af1f72362d0c6fc65
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