Instructions to use khmerttsopensource/khmer-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khmerttsopensource/khmer-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="khmerttsopensource/khmer-tts")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("khmerttsopensource/khmer-tts") model = AutoModelForPreTraining.from_pretrained("khmerttsopensource/khmer-tts") - Notebooks
- Google Colab
- Kaggle
File size: 367 Bytes
c9380a9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"checkpoint": "khmer-tts",
"sample_count": 50,
"success_count": 50,
"failure_count": 0,
"failure_rate": 0.0,
"total_generation_time_seconds": 21.748883,
"total_audio_duration_seconds": 163.968,
"mean_generation_time_seconds": 0.434978,
"mean_audio_duration_seconds": 3.27936,
"mean_rtf": 0.136449,
"min_rtf": 0.026531,
"max_rtf": 0.289309
}
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