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:
- 0e5eadda7ee732b031f2f50b8103b81dcbce4d3501e75822d9edc193f5e6b1ac
- Size of remote file:
- 108 kB
- SHA256:
- e724547098db8bd6d48c13c4010208f442cbe48ef9d762dafc340bdea9f7a0bd
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