UBC-NLP
/

Simba-TTS-tsn

Automatic Speech Recognition

african-languages

speech-recognition

Model card Files Files and versions

elmadany commited on Feb 10

Commit

8d98025

·

verified ·

1 Parent(s): f368055

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -71,8 +71,8 @@ You can easily run inference using the Hugging Face `transformers` library.
 ```python
 from transformers import VitsModel, AutoTokenizer
 import torch
-lang="afr"
-model_name=f"UBC-NLP-C/mms-tts-{lang}"
 model = VitsModel.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)

 ```python
 from transformers import VitsModel, AutoTokenizer
 import torch
+model_name="Simba-TTS-afr" ## Simba-TTS-twi-asanti, Simba-TTS-twi-akuapem, Simba-TTS-lin, Simba-TTS-sot, Simba-TTS-tsn, Simba-TTS-xho
 model = VitsModel.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)