Instructions to use Devishri1/finetuned_speecht5_50Kdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devishri1/finetuned_speecht5_50Kdata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Devishri1/finetuned_speecht5_50Kdata")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Devishri1/finetuned_speecht5_50Kdata") model = AutoModelForTextToSpectrogram.from_pretrained("Devishri1/finetuned_speecht5_50Kdata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20000
Browse files
model.safetensors
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runs/Oct24_15-57-51_6a4782454a21/events.out.tfevents.1729785473.6a4782454a21.25154.2
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