Automatic Speech Recognition
Transformers
Safetensors
Chinese
English
qwen3_asr
taiwan-mandarin
traditional-chinese
code-switching
qwen3-asr
speech
Instructions to use JacobLinCool/TEA-ASR-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JacobLinCool/TEA-ASR-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JacobLinCool/TEA-ASR-1")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("JacobLinCool/TEA-ASR-1") model = AutoModelForMultimodalLM.from_pretrained("JacobLinCool/TEA-ASR-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ablation_2x2.png from JacobLinCool/TEA-ASR-1: direct link, hf CLI and curl.
- Browser
- Download file 64.6 kB
-
https://huggingface.co/JacobLinCool/TEA-ASR-1/resolve/main/ablation_2x2.png
- Command line
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hf download hf://JacobLinCool/TEA-ASR-1/ablation_2x2.png
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curl -L -o ablation_2x2.png https://huggingface.co/JacobLinCool/TEA-ASR-1/resolve/main/ablation_2x2.png
64.6 kB
