Text-to-Speech
Transformers
Safetensors
seamlessm4t-v2-large-speech_encoder
audio-to-audio
custom_code
Instructions to use WueNLP/seamless-m4t-v2-large-speech-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WueNLP/seamless-m4t-v2-large-speech-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="WueNLP/seamless-m4t-v2-large-speech-encoder", trust_remote_code=True)# Load model directly from transformers import SeamlessM4TSpeechEncoder model = SeamlessM4TSpeechEncoder.from_pretrained("WueNLP/seamless-m4t-v2-large-speech-encoder", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle