Model Details
Full Model IDfacebook/seamless-m4t-v2-large
Pipeline / Taskautomatic-speech-recognition
Librarytransformers
Downloads (all-time)300.7K
Likes1.0K
Last Modified1/4/2024
Author / Orgfacebook
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("automatic-speech-recognition", model="facebook/seamless-m4t-v2-large")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsseamless_m4t_v2feature-extractionaudio-to-audiotext-to-speechseamless_communicationautomatic-speech-recognitionafamarasazbebnbsbgcacszhcydadeelenetfifrorom
More Speech Recognition Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🎙️ Task: Speech Recognition
This model is designed for the Speech Recognition task. Explore more models for this use case.
All Speech Recognition Models →📊 Popularity
⬇ Downloads300.7K
❤️ Community Likes1.0K
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.