Instructions to use pius-code/asha_twi_tts_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pius-code/asha_twi_tts_adapter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="pius-code/asha_twi_tts_adapter")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("pius-code/asha_twi_tts_adapter") model = AutoModelForTextToSpectrogram.from_pretrained("pius-code/asha_twi_tts_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 252 Bytes
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"_from_model_config": true,
"bos_token_id": 0,
"decoder_start_token_id": 2,
"eos_token_id": 2,
"output_attentions": false,
"output_hidden_states": false,
"pad_token_id": 1,
"transformers_version": "5.15.0.dev0",
"use_cache": true
}
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