Text-to-Speech
Transformers
Safetensors
Chinese
English
audio
speech-recognition
voice-cloning
speech-editing
comfyui
Instructions to use t8star/Firered-Audio-Comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use t8star/Firered-Audio-Comfy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="t8star/Firered-Audio-Comfy")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t8star/Firered-Audio-Comfy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 417 Bytes
e80f7c1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"feature_extractor": {
"chunk_length": 300,
"dither": 0.0,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 400,
"n_samples": 4800000,
"nb_max_frames": 30000,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000
},
"processor_class": "FireRedAudioProcessor"
}
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