Instructions to use FloatinggOnion/hausa-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FloatinggOnion/hausa-tts with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("FloatinggOnion/hausa-tts") model = AutoModelForPreTraining.from_pretrained("FloatinggOnion/hausa-tts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0bea262f721f8789d283be62b4cdd5096064fed8249f7440cc5ae7a31d194ce
- Size of remote file:
- 291 MB
- SHA256:
- 4642b69b7aca63bcf9d1daf88c250d02812e116318cab9b8c2cdf21cdd2a638b
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