Text-to-Speech
Transformers
Safetensors
Hausa
speecht5
text-to-audio
hausa
hausa-tts
speech-synthesis
low-resource-language
african-languages
Instructions to use Afrilab/HanwaTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Afrilab/HanwaTTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Afrilab/HanwaTTS")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Afrilab/HanwaTTS") model = AutoModelForTextToSpectrogram.from_pretrained("Afrilab/HanwaTTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Afrilab/HanwaTTS: direct link, hf CLI and curl.
- Browser
- Download file 185 Bytes
-
https://huggingface.co/Afrilab/HanwaTTS/resolve/main/generation_config.json
- Command line
-
hf download hf://Afrilab/HanwaTTS/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Afrilab/HanwaTTS/resolve/main/generation_config.json
185 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 2, | |
| "max_length": 1876, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.53.3" | |
| } | |