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* [Feature] Support model-bound text postprocessor, add claude as an example * update * update * minor fix --------- Co-authored-by: zhoufengzhe <zhoufengzhe@pjlab.org.cn>
20 lines
602 B
Python
20 lines
602 B
Python
from mmengine.config import read_base
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from opencompass.partitioners import NaivePartitioner
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from opencompass.runners import LocalRunner
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from opencompass.tasks import OpenICLInferTask
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with read_base():
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# choose a list of datasets
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from .datasets.collections.chat_medium import datasets
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# and output the results in a choosen format
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from .summarizers.medium import summarizer
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from .models.claude import models
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infer = dict(
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partitioner=dict(type=NaivePartitioner),
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runner=dict(
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type=LocalRunner,
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max_num_workers=8,
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task=dict(type=OpenICLInferTask)),
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)
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