Instructions to use lithish2602/speecht5_tts_ta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lithish2602/speecht5_tts_ta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="lithish2602/speecht5_tts_ta")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("lithish2602/speecht5_tts_ta") model = AutoModelForTextToSpectrogram.from_pretrained("lithish2602/speecht5_tts_ta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
config.json
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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"max_length":
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"max_speech_positions": 1876,
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"max_text_positions": 600,
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"model_type": "speecht5",
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"speech_decoder_prenet_layers": 2,
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"speech_decoder_prenet_units": 256,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": false,
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"use_guided_attention_loss": true,
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"vocab_size": 81
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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"max_length": 1876,
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"max_speech_positions": 1876,
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"max_text_positions": 600,
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"model_type": "speecht5",
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"speech_decoder_prenet_layers": 2,
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"speech_decoder_prenet_units": 256,
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"torch_dtype": "float32",
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"transformers_version": "4.50.0.dev0",
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"use_cache": false,
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"use_guided_attention_loss": true,
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"vocab_size": 81
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model.safetensors
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runs/Mar06_09-19-18_a2b85a6a1c4f/events.out.tfevents.1741252768.a2b85a6a1c4f.556.0
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training_args.bin
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