Automatic Speech Recognition
Transformers
Safetensors
seamless_m4t_v2
feature-extraction
audio-to-audio
text-to-speech
seamless_communication
Instructions to use aoiandroid/seamless-m4t-v2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aoiandroid/seamless-m4t-v2-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aoiandroid/seamless-m4t-v2-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aoiandroid/seamless-m4t-v2-large") model = AutoModel.from_pretrained("aoiandroid/seamless-m4t-v2-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b69da23df738e9760e0a97502ff053293b9affcb172e71abb9c3532ab1814a0
- Size of remote file:
- 5.17 MB
- SHA256:
- 026a76827537db9f1348e4d5aaa127bb10a2f2ff633243f3a52d16be82d73f9d
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