Text-to-Speech
Transformers
PyTorch
TensorBoard
Safetensors
speecht5
text-to-audio
Generated from Trainer
Instructions to use Lightmourne/speecht5_finetuned_voxpopuli_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lightmourne/speecht5_finetuned_voxpopuli_nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Lightmourne/speecht5_finetuned_voxpopuli_nl")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Lightmourne/speecht5_finetuned_voxpopuli_nl") model = AutoModelForTextToSpectrogram.from_pretrained("Lightmourne/speecht5_finetuned_voxpopuli_nl") - Notebooks
- Google Colab
- Kaggle
Commit ·
ebb9402
1
Parent(s): 775989a
Librarian Bot: Add base_model information to model (#1)
Browse files- Librarian Bot: Add base_model information to model (f433ff3ef4fbcdf0463d674c3cc8ec1487928aec)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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datasets:
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- voxpopuli
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model-index:
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- name: speecht5_finetuned_voxpopuli_nl
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results: []
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pipeline_tag: text-to-speech
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- generated_from_trainer
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datasets:
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- voxpopuli
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pipeline_tag: text-to-speech
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base_model: microsoft/speecht5_tts
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model-index:
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- name: speecht5_finetuned_voxpopuli_nl
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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