Instructions to use ipsilondev/parler_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ipsilondev/parler_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ipsilondev/parler_tts")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("ipsilondev/parler_tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ipsilondev commited on
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Parent(s): 664a8e2
- config.json +1 -1
config.json
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"max_length": 20,
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"min_length": 0,
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"model_bitrate": 8,
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"model_type": "
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"no_repeat_ngram_size": 0,
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"num_beam_groups": 1,
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"num_beams": 1,
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"max_length": 20,
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"min_length": 0,
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"model_bitrate": 8,
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"model_type": "encodec",
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"no_repeat_ngram_size": 0,
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"num_beam_groups": 1,
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"num_beams": 1,
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