Instructions to use procit007/training_tts_nl_v23.1_fbdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use procit007/training_tts_nl_v23.1_fbdata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="procit007/training_tts_nl_v23.1_fbdata")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("procit007/training_tts_nl_v23.1_fbdata") model = AutoModelForTextToWaveform.from_pretrained("procit007/training_tts_nl_v23.1_fbdata") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse fileschanged the speaking rate from 0.85 --> 1
- config.json +1 -1
config.json
CHANGED
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@@ -81,7 +81,7 @@
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"sampling_rate": 16000,
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"segment_size": 8192,
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"speaker_embedding_size": 0,
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"speaking_rate":
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"spectrogram_bins": 513,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"sampling_rate": 16000,
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"segment_size": 8192,
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"speaker_embedding_size": 0,
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"speaking_rate": 1.0,
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"spectrogram_bins": 513,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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