Automatic Speech Recognition
Transformers
Safetensors
Chinese
English
voxtral_realtime
realtime
speech-recognition
streaming-asr
bilingual
Instructions to use x-square-robot/X2-ASR-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-ASR-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-ASR-4B-0812")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("x-square-robot/X2-ASR-4B-0812") model = AutoModelForMultimodalLM.from_pretrained("x-square-robot/X2-ASR-4B-0812", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd2cad65ec6d3ae5a0d05e8391994f0bee42353575eaae775dd76e6b70673948
- Size of remote file:
- 14.9 MB
- SHA256:
- 8434af1d39eba99f0ef46cf1450bf1a63fa941a26933a1ef5dbbf4adf0d00e44
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