Text-to-Speech
Transformers
PyTorch
TensorBoard
Safetensors
speecht5
text-to-audio
Generated from Trainer
Instructions to use Sandiago21/speecht5_finetuned_google_fleurs_greek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/speecht5_finetuned_google_fleurs_greek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Sandiago21/speecht5_finetuned_google_fleurs_greek")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Sandiago21/speecht5_finetuned_google_fleurs_greek") model = AutoModelForTextToSpectrogram.from_pretrained("Sandiago21/speecht5_finetuned_google_fleurs_greek", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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language:
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- el
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- google/fleurs
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model-index:
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- name:
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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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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.3920
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: speecht5_finetuned_google_fleurs_greek
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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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should probably proofread and complete it, then remove this comment. -->
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# speecht5_finetuned_google_fleurs_greek
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3920
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