Instructions to use Anujgr8/speecht5_code_switch_intra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anujgr8/speecht5_code_switch_intra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Anujgr8/speecht5_code_switch_intra")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Anujgr8/speecht5_code_switch_intra") model = AutoModelForTextToSpectrogram.from_pretrained("Anujgr8/speecht5_code_switch_intra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f1e6d707df3b952ff5bb5c82f941ea04fe1c4a6d1ee6f97857c62923a557eb7
- Size of remote file:
- 578 MB
- SHA256:
- 8f7ea5722fd32bffd0b590c0aec554fef6385a9faa7969db2a4b5eb0ae383ece
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