| Likewise, the randomness of the noise is controlled by model.noise_scale: | |
| thon | |
| import torch | |
| from transformers import VitsTokenizer, VitsModel, set_seed | |
| tokenizer = VitsTokenizer.from_pretrained("facebook/mms-tts-eng") | |
| model = VitsModel.from_pretrained("facebook/mms-tts-eng") | |
| inputs = tokenizer(text="Hello - my dog is cute", return_tensors="pt") | |
| make deterministic | |
| set_seed(555) | |
| make speech faster and more noisy | |
| model.speaking_rate = 1.5 | |
| model.noise_scale = 0.8 | |
| with torch.no_grad(): | |
| outputs = model(**inputs) | |
| Language Identification (LID) | |
| Different LID models are available based on the number of languages they can recognize - 126, 256, 512, 1024, 2048, 4017. |