9i2SSKrSSKJrJrJrJrJr SSKJr SSK J r SSK J r SSK JrJr SSKJrJrJrJr SSKJr SS KJr SS KJr SS KJrJr SS KJrJ r SS K!J"r" SSK#J$r$ SSK%J&r& \"S5r'\"5r(S*Sjr)S*S\S\*S\+4Sjjr,SSSSSSS\S4 S\*S\\*\\*\ \\ 4S\*S\*S\*S\*S\\*S\\*S\$4S jjr-S+S\*S!\*S"\*S#\.4S$jjr/S%r0S\\*\\*\ \\ 4S&\\*S'\\*\4S\\*4S(jr1S'\S\*4S)jr2g),N)AnyDictListOptionalUnion)snapshot_downloadDEFAULT_MODEL_FOR_PIPELINE)Model) ConfigDict check_config)DEFAULT_MODEL_REVISIONInvokeTasks ThirdParty) read_config)is_transformers_available) get_logger)register_modelhub_reporegister_plugins_repo)Registrybuild_from_cfg)is_embedding_task)Pipeline)is_official_hub_path pipelinesc[U[5(aw[X5(ag[RR U5(dA[ R[ R0nUbX$[R'[UUUUS9nU$[U[5(a[US[5(a[[U55Hn[XU5(dM[RR X5(aM@[ R[ R0nUbX$[R'[XXS9X'M U$)znormalize the input model, to ensure that a model str is a valid local path: in other words, for model represented by a model id, the model shall be downloaded locally )revision user_agentignore_file_patternr)rr ) isinstancestrrospathexistsrKEYPIPELINErrlistrangelen)modelmodel_revision third_partyr!r idxs \/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/modelscope/pipelines/builder.pynormalize_model_inputr1s %"6u"M"Mww~~e$$ **foo6J&-8:>>*%'%$7 9E L E4 Za#%>%>U$C#J"$$,.GGNN5:,F,F$jj&//: *1a [,RAS5 ef=f![>an[,RGS5 UeSnAff=f)ayFactory method to build an obj:`Pipeline`. Args: task (str): Task name defining which pipeline will be returned. model (str or List[str] or obj:`Model` or obj:list[`Model`]): (list of) model name or model object. preprocessor: preprocessor object. config_file (str, optional): path to config file. pipeline_name (str, optional): pipeline class name or alias name. framework (str, optional): framework type. model_revision: revision of model(s) if getting from model hub, for multiple models, expecting all models to have the same revision device (str, optional): whether to use gpu or cpu is used to do inference. ignore_file_pattern(`str` or `List`, *optional*, default to `None`): Any file pattern to be ignored in downloading, like exact file names or file extensions. Return: pipeline (obj:`Pipeline`): pipeline object for certain task. Examples: >>> # Using default model for a task >>> p = pipeline('image-classification') >>> # Using pipeline with a model name >>> p = pipeline('text-classification', model='damo/distilbert-base-uncased') >>> # Using pipeline with a model object >>> resnet = Model.from_pretrained('Resnet') >>> p = pipeline('image-classification', model=resnet) >>> # Using pipeline with a list of model names >>> p = pipeline('audio-kws', model=['damo/audio-tts', 'damo/auto-tts2']) Nz!task or pipeline_name is requiredr)rpipelinetypeexternal_engine_for_llmT llm_frameworkswiftllm)r.r!plugins allow_remoteF)sentence_transformers_pipeliner,zWe could not find a suitable pipeline from modelscope, so we tried to load it using the sentence_transformers, but that also failed.) hf_pipeline)r:r,r=r>z{We couldn't find a suitable pipeline from ms, so we tried to load it using the transformers pipeline, but that also failed.gpur>)r4)) ValueErrorr"r#r)rrsafe_getgetlowerrtext_generationchatexternal_engine_for_llm_checkerrr'popr1rrr rAAssertionErrorloggerinfohasattr model_dir__dict__get_default_pipeline_informodelscope.utils.hf_utilrI Exception exceptionrrJerrorr clear_llm_infoupdate preprocessorr9)r:r,rbr;r<r=r>r-r!kwargspipeline_propsr3prefer_llm_pipeliner.e first_modeldefault_model_reporIrJs r0rArAIsP | -<==N eS ! !%&&:eAh+D+D#ECC8Bs8$8$"4)4!!H~*?$'LL13%558S5F"!(*0**5N*O''DJJL!115::=-/626/+!::o6>6=F?3(G!6); !(MU,B"(**Z^^">21&$/,? AE *#,,y*AB*5+.77>5+IK!&,m%/M33N)O > M0M++M03 N&=N!!N&)!O  O3O..O3 model_name modelhub_name overwritecPU(dU[;d SUS35eX4[U'g)zAdd default model for a task. Args: task (str): task name. model_name (str): model_name. modelhub_name (str): name for default modelhub. overwrite (bool): overwrite default info. ztask z already has default model.Nr )r:rirjrks r0add_default_pipeline_informs: 55 6D64 5 65)3'Bt$r2cU[;a2[[RUR 55SnSnX4$[UupX4$)zGet default info for certain task. Args: task (str): task name. Return: A tuple: first element is pipeline name(model_name), second element is modelhub name. rN)r r)r8moduleskeys)r:r< default_models r0r[r[sY --Y..t499;>% .u5HH &x0Da++J  $$ d#%GJ"":../  NN=hZH55BO3qcK LJ sC!! D+ DDcSSKJn URSS5 US:waURSS5 UR5 g)Nr)rsrCrFrD)"modelscope.utils.model_type_helperrsrT clear_cache)rcr<rss r0r`r`3s6B JJ($/ ?D)!r2)NN)NF)3r$typingrrrrr modelscope.hub.snapshot_downloadrmodelscope.metainfor modelscope.models.baser modelscope.utils.configr r modelscope.utils.constantrrrrmodelscope.utils.hubrmodelscope.utils.import_utilsrmodelscope.utils.loggerrmodelscope.utils.pluginsrrmodelscope.utils.registryrrmodelscope.utils.task_utilsrbaserutilrr8rVr1r#dictr9rAboolrmr[rSr`rLr2r0rs 33>:(<33,C.=>9& [ !  '+.2B%)(, H H! H!% H@D $"&"-C.2\/3\/#tCy%e<=\/\/ \/  \/  \/&c]\/#'s)\/#\/B4805CCC*-C-0C*.C&((!5d3i15e2=,>!.6sm!-1cN!@H}!H"4""r2