fasr-asr-fun

基于 fun_asr_nano.py 的 funasr.AutoModel 推理方式封装，为 fasr 提供 Fun-ASR-Nano 无时间戳识别能力。

安装

pip install fasr-asr-fun

注册模型

注册名	类	默认 checkpoint	说明
`fun_asr_nano`	`FunASRNanoForASR`	`FunAudioLLM/Fun-ASR-Nano-2512`	Fun-ASR-Nano，无时间戳输出

使用方式

from fasr import AudioPipeline

pipeline = (
    AudioPipeline()
    .add_pipe("detector", model="fsmn")
    .add_pipe("recognizer", model="fun_asr_nano")
    .add_pipe("sentencizer", model="ct_transformer")
)

单独使用模型

模型实例化时会自动执行 download_checkpoint() + load_checkpoint()：

from fasr.config import registry

model = registry.asr_models.get("fun_asr_nano")(device="cuda:0")
# or model.load_checkpoint("/path/to/custom/fun_asr")

运行期 / 会话参数

参数	类型	默认值	说明
`checkpoint`	`str \| None`	`"FunAudioLLM/Fun-ASR-Nano-2512"`	远程 repo_id；非空时实例化会自动下载
`cache_dir`	`str \| Path \| None`	`None`	缓存目录，`None` 使用 `fasr.utils.get_cache_dir()`
`endpoint`	`Literal["modelscope", "huggingface", "hf-mirror"]`	`"modelscope"`	下载端点
`device`	`str`	`"cuda:0"`	推理设备
`trust_remote_code`	`bool`	`True`	是否信任远程代码
`language`	`str`	`"中文"`	默认识别语言
`itn`	`bool`	`True`	是否执行逆文本规范化
`batch_size`	`int`	`1`	generate 批大小

transcribe 支持通过 kwargs 覆盖 hotwords、language、itn、batch_size。

输出说明

当前模型不返回词级/字级时间戳。
fasr 中会把整段识别文本作为一个 AudioToken 返回。

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