Instructions to use khof312/mms-tts-lin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khof312/mms-tts-lin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="khof312/mms-tts-lin")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("khof312/mms-tts-lin") model = AutoModelForTextToWaveform.from_pretrained("khof312/mms-tts-lin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from khof312/mms-tts-lin: direct link, hf CLI and curl.
- Browser
- Download file 275 Bytes
-
https://huggingface.co/khof312/mms-tts-lin/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://khof312/mms-tts-lin/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/khof312/mms-tts-lin/resolve/main/special_tokens_map.json
275 Bytes
| { | |
| "pad_token": { | |
| "content": "2", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |