Instructions to use onecxi/mms-telugu-female-indic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onecxi/mms-telugu-female-indic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="onecxi/mms-telugu-female-indic")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("onecxi/mms-telugu-female-indic") model = AutoModelForPreTraining.from_pretrained("onecxi/mms-telugu-female-indic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
updated sample audio
Browse files
README.md
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**mms-telugu-female-indic**: **Telugu model with Telugu female speaker** from the IndicTTS dataset.
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## Inference
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To use these models for inference, you'll need to install the `transformers` and `accelerate` libraries.
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**mms-telugu-female-indic**: **Telugu model with Telugu female speaker** from the IndicTTS dataset.
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## Sample Examples
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| Text | Synthesized Audio |
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|------------|------------|
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| ఈ పనిని పూర్తి చేయడానికి రెండు రోజులు పడుతుంది. నేను మీకు సహాయం చేయగలను. | <audio controls src="https://huggingface.co/datasets/onecxi/cxi-sample-data/resolve/main/tts-examples/mms-telugu-female-indic/telugu_example_1.wav"></audio> |
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| ఈ పుస్తకం నాకు చాలా నచ్చింది. ఇందులో కొత్త విషయాలు చాలా ఉన్నాయి. | <audio controls src="https://huggingface.co/datasets/onecxi/cxi-sample-data/resolve/main/tts-examples/mms-telugu-female-indic/telugu_example_2.wav"></audio> |
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| నేను రేపు ఉదయం పది గంటలకు బయలుదేరుతాను. మీరు రాగలరా? | <audio controls src="https://huggingface.co/datasets/onecxi/cxi-sample-data/resolve/main/tts-examples/mms-telugu-female-indic/telugu_example_3.wav"></audio> |
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## Inference
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To use these models for inference, you'll need to install the `transformers` and `accelerate` libraries.
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