Instructions to use Sourabh2/speecht5_finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sourabh2/speecht5_finetuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Sourabh2/speecht5_finetuned_model")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Sourabh2/speecht5_finetuned_model") model = AutoModelForTextToSpectrogram.from_pretrained("Sourabh2/speecht5_finetuned_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db1123e50a5138aa1eaccfd8699924cfdf22592fb374391f07a6551d159df7a6
- Size of remote file:
- 4.09 kB
- SHA256:
- 7c8ab5adf1de4924bad8c3f246c9b537ec31b637245e98bafc1427fe068b4ffa
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