Instructions to use facebook/mms-tts-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-eng")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-eng") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-eng") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
#16 opened about 1 year ago
by
oyemade
fine-tuning
🤗 1
1
#15 opened about 1 year ago
by
nickoo004
Is there a way to add new tokens to the tokenizer?
#14 opened over 1 year ago
by
Meshwa
Update README.md
1
#13 opened almost 2 years ago
by
spycsh
Create preprocessor_config.json
3
#12 opened almost 2 years ago
by
adityaedy01
Token indices sequence length is longer than the specified maximum sequence length
#11 opened about 2 years ago
by
bl0ckade
I didn't see Chinese
#10 opened about 2 years ago
by
Doraemon-AI
Unable to creating output file using scipy
2
#9 opened about 2 years ago
by
Yadunandana
What kind of dataset was used?
❤️ 1
1
#8 opened over 2 years ago
by
f0rGoTTen000
Transpose output for scipy writing
👍 4
1
#7 opened over 2 years ago
by
shivr
How to fine tune this model
👍 3
#6 opened over 2 years ago
by
Mavisfsew
What is the maximum token length of the model when using Inference API ?
#5 opened over 2 years ago
by
AIBoy1993
Key error and unable to load dataset
2
#4 opened over 2 years ago
by
Mavisfsew
Special tokens to control pausing?
5
#3 opened over 2 years ago
by
mstachow
What is the maximum token length of the model?
1
#2 opened over 2 years ago
by
mstachow