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") - Notebooks
- Google Colab
- Kaggle
TEA-ASR clean leak-free release: merged weights + decorated tokenizer + fresh-eval card
3a87a39 verified | { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 151643, | |
| 151645 | |
| ], | |
| "pad_token_id": 151643, | |
| "temperature": null, | |
| "top_k": null, | |
| "top_p": null, | |
| "transformers_version": "4.57.6" | |
| } | |