Instructions to use facebook/mms-tts-mai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-mai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-mai")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-mai") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-mai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| " ": 65, | |
| "'": 62, | |
| "-": 41, | |
| "|": 0, | |
| "ँ": 14, | |
| "ं": 46, | |
| "ः": 61, | |
| "अ": 19, | |
| "आ": 29, | |
| "इ": 45, | |
| "ई": 49, | |
| "उ": 47, | |
| "ऊ": 59, | |
| "ऋ": 64, | |
| "ए": 36, | |
| "ऐ": 60, | |
| "ओ": 30, | |
| "औ": 48, | |
| "क": 2, | |
| "ख": 34, | |
| "ग": 28, | |
| "घ": 54, | |
| "ङ": 63, | |
| "च": 37, | |
| "छ": 25, | |
| "ज": 17, | |
| "झ": 56, | |
| "ञ": 57, | |
| "ट": 39, | |
| "ठ": 51, | |
| "ड": 42, | |
| "ढ": 55, | |
| "ण": 44, | |
| "त": 10, | |
| "थ": 35, | |
| "द": 23, | |
| "ध": 38, | |
| "न": 8, | |
| "प": 13, | |
| "फ": 52, | |
| "ब": 21, | |
| "भ": 16, | |
| "म": 12, | |
| "य": 20, | |
| "र": 3, | |
| "ल": 11, | |
| "व": 24, | |
| "श": 27, | |
| "ष": 40, | |
| "स": 7, | |
| "ह": 5, | |
| "़": 43, | |
| "ऽ": 32, | |
| "ा": 1, | |
| "ि": 4, | |
| "ी": 22, | |
| "ु": 18, | |
| "ू": 33, | |
| "ृ": 53, | |
| "े": 6, | |
| "ै": 31, | |
| "ो": 26, | |
| "ौ": 50, | |
| "्": 9, | |
| "": 15, | |
| "—": 58 | |
| } | |