Instructions to use facebook/hf-seamless-m4t-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/hf-seamless-m4t-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/hf-seamless-m4t-large")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/hf-seamless-m4t-large") model = AutoModel.from_pretrained("facebook/hf-seamless-m4t-large") - Notebooks
- Google Colab
- Kaggle
Report
#20 opened about 1 year ago
by
Kodeeswaran
[AUTOMATED] Model Memory Requirements
#19 opened about 2 years ago
by
model-sizer-bot
[AUTOMATED] Model Memory Requirements
#18 opened about 2 years ago
by
model-sizer-bot
Example of data for the predict for T2TT
#17 opened about 2 years ago
by
MilanCancarevic
Adding `safetensors` variant of this model
#16 opened over 2 years ago
by
SFconvertbot
Error in getting text
13
#14 opened over 2 years ago
by
Atharva-solanki