Instructions to use iqrabatool/Finetuned_speecht5_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iqrabatool/Finetuned_speecht5_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="iqrabatool/Finetuned_speecht5_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("iqrabatool/Finetuned_speecht5_2") model = AutoModelForTextToSpectrogram.from_pretrained("iqrabatool/Finetuned_speecht5_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature5fc791c -
Training in progress, step 5000
Verified signature707759d -
Training in progress, step 4500
Verified signature4b0ca4f -
Training in progress, step 4000
Verified signaturebeabf51 -
Training in progress, step 3500
Verified signature582cc90 -
Training in progress, step 3000
Verified signature8976d96 -
Training in progress, step 2500
Verified signature69dc167 -
Training in progress, step 2000
Verified signature12add37 -
Training in progress, step 1500
Verified signature739dfb4 -
Training in progress, step 1000
Verified signaturee03a02f -
Training in progress, step 500
Verified signature2647f6d -
Training in progress, step 1000
Verified signature8137370 -
Training in progress, step 500
Verified signature4743fd9 -
initial commit
Verified signaturefca3b5c