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| | | |
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| | | More examples ref to [docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining) |
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| | | [//]: # (FunASR supports inference and fine-tuning of models trained on industrial datasets of tens of thousands of hours. For more details, please refer to ([modelscope_egs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html)). It also supports training and fine-tuning of models on academic standard datasets. For more details, please refer to([egs](https://alibaba-damo-academy.github.io/FunASR/en/academic_recipe/asr_recipe.html)). The models include speech recognition (ASR), speech activity detection (VAD), punctuation recovery, language model, speaker verification, speaker separation, and multi-party conversation speech recognition. For a detailed list of models, please refer to the [Model Zoo](https://github.com/alibaba-damo-academy/FunASR/blob/main/docs/model_zoo/modelscope_models.md):) |
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| | | |
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| | | ## Export ONNX |
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| | | |
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| | | ### Command-line usage |
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| | | ```shell |
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| | | funasr-export ++model=paraformer ++quantize=false |
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| | | ``` |
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| | | |
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| | | ### python |
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| | | ```python |
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| | | from funasr import AutoModel |
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| | | |
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| | | model = AutoModel(model="paraformer") |
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| | | |
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| | | res = model.export(quantize=False) |
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| | | ``` |
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| | | |
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| | | ## Deployment Service |
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| | | FunASR supports deploying pre-trained or further fine-tuned models for service. Currently, it supports the following types of service deployment: |
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