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-augment 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-augment 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-augment", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("humanify/LongCat-AudioDiT-Env-TTS-1B-augment", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 690fa48a69c99a86c4e85186bdffcdbfc8a90cc2c1d53f9b55fadc9b94760a5d
- Size of remote file:
- 5 GB
- SHA256:
- d8d814aa8350d765dfb9f12e67db470062a5411ba03f9e1a96af271df8ee5b20
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