Text-to-Speech
Transformers
Safetensors
Waray (Philippines)
speecht5
text-to-audio
philippines
philippine-languages
Instructions to use sapinsapin/speecht5_tts-pld-war with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sapinsapin/speecht5_tts-pld-war with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="sapinsapin/speecht5_tts-pld-war")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("sapinsapin/speecht5_tts-pld-war") model = AutoModelForTextToSpectrogram.from_pretrained("sapinsapin/speecht5_tts-pld-war", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 492 Bytes
f0d4743 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"feature_extractor": {
"do_normalize": false,
"feature_extractor_type": "SpeechT5FeatureExtractor",
"feature_size": 1,
"fmax": 7600,
"fmin": 80,
"frame_signal_scale": 1.0,
"hop_length": 16,
"mel_floor": 1e-10,
"num_mel_bins": 80,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000,
"win_function": "hann_window",
"win_length": 64
},
"processor_class": "SpeechT5Processor"
}
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