Automatic Speech Recognition
Transformers
Safetensors
Chinese
English
voxtral_realtime
realtime
turn-taking
speech-recognition
voice-assistant
endpointing
barge-in
Instructions to use x-square-robot/X2-Turn-4B-0812 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use x-square-robot/X2-Turn-4B-0812 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="x-square-robot/X2-Turn-4B-0812")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("x-square-robot/X2-Turn-4B-0812") model = AutoModelForMultimodalLM.from_pretrained("x-square-robot/X2-Turn-4B-0812", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Sync model.safetensors from Kaiqfu/X2-Turn-4B-0812
Browse files- model.safetensors +3 -0
model.safetensors
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size 10470070544
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