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-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JacobLinCool/TEA-ASR-1-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JacobLinCool/TEA-ASR-1-mini")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("JacobLinCool/TEA-ASR-1-mini") model = AutoModelForMultimodalLM.from_pretrained("JacobLinCool/TEA-ASR-1-mini") - Notebooks
- Google Colab
- Kaggle
File size: 200 Bytes
242f925 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"_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"
}
|