Text-to-Speech
Transformers
Safetensors
Hausa
tts
speech-synthesis
orpheus
hausa
african-languages
multilingual
voice-cloning
generative-ai
audio
Instructions to use EYEDOL/ORPHEOUSHAUSA3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EYEDOL/ORPHEOUSHAUSA3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="EYEDOL/ORPHEOUSHAUSA3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EYEDOL/ORPHEOUSHAUSA3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<|audio|>" | |
| ], | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|finetune_right_pad_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |