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
- Xet hash:
- 2a8c77823da66e4ccd1bfab78caa540c6bc9f78dbe41b563231c2bf4775e9444
- Size of remote file:
- 115 kB
- SHA256:
- 94038faf9bae2e67d7e48d7525ffa43f64cdcde7b8468b6db3945c6eb43662a2
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