FunASR/examples/industrial_data_pretraining/monotonic_aligner/demo.py
zhifu gao 675b4605e8
Dev gzf llm (#1506)
* update

* update

* update

* update onnx

* update with main (#1492)

* contextual&seaco ONNX export (#1481)

* contextual&seaco ONNX export

* update ContextualEmbedderExport2

* update ContextualEmbedderExport2

* update code

* onnx (#1482)

* qwenaudio qwenaudiochat

* qwenaudio qwenaudiochat

* whisper

* whisper

* llm

* llm

* llm

* llm

* llm

* llm

* llm

* llm

* export onnx

* export onnx

* export onnx

* dingding

* dingding

* llm

* doc

* onnx

* onnx

* onnx

* onnx

* onnx

* onnx

* v1.0.15

* qwenaudio

* qwenaudio

* issue doc

* update

* update

* bugfix

* onnx

* update export calling

* update codes

* remove useless code

* update code

---------

Co-authored-by: zhifu gao <zhifu.gzf@alibaba-inc.com>

* acknowledge

---------

Co-authored-by: Shi Xian <40013335+R1ckShi@users.noreply.github.com>

* update onnx

* update onnx

* train update

* train update

* train update

* train update

* punc update

---------

Co-authored-by: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
2024-03-15 21:14:08 +08:00

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Python

#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
# MIT License (https://opensource.org/licenses/MIT)
from funasr import AutoModel
model = AutoModel(model="iic/speech_timestamp_prediction-v1-16k-offline", model_revision="v2.0.4")
res = model.generate(input=("https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
"欢迎大家来到魔搭社区进行体验"),
data_type=("sound", "text"),
batch_size=2,
)
print(res)