configmixin #152
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configmixin #152
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| >>> from tinyms.pipeline import AutoModelPileline | ||
| >>> model = AutoModelPileline.from_pretrained("model_cache_path", "model_repo") | ||
| >>> pred = model(your_input) | ||
| ``` |
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当前支持哪些模型？可否实际提供一个完整跑通的例子？有明确输入参数，输出结果，这样方便看最终的成果。
| >>> trainer = AutoTrainerPipeline.from_pretrained("trainer_cache_path", "trainer_repo") | ||
| >>> trainer.init_model(model) | ||
| >>> trainer.train() | ||
| ``` |
| >>> new_trainer.train() | ||
| >>> | ||
| >>> new_trainer.train(4) | ||
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drizzlezyk
approved these changes
Oct 31, 2023
drizzlezyk
previously approved these changes
Oct 31, 2023
delete _internal_config_dict_converted convert init_subclass to wrapper trainer_configmixin sha256 and pretrained. fix wrapper download from obs remove test code image_classification_trainer append sys add dict mindspore dataset fix bug findFromPreConfig fix path bug fix path bug pathlib class check add document checkfiles autopipeline documentation doc init
kong13661
dismissed stale reviews from hellowaywewe and drizzlezyk
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drizzlezyk
approved these changes
Oct 31, 2023
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What type of PR is this?
开源之夏项目，实现一个pipeline，能够方便部署模型。
What does this PR do / why do we need it:
1.昇思大模型平台是一个集大模型体验、代码托管、模型选型、AI全流程为一体的平台，而TinyMS是昇思MindSpore高阶API工具，旨在让用户快速使用模型等。
2.目前昇思大模型平台的模型使用只支持线上的方式，缺少一种线下的方式。为了方便开发者的使用，需要开发平台的的Lib，通过Lib，可以极简地通过几行代码实现从平台中下载SOTA模型、并进行预训练、训练、微调、推理和评估等
Which issue(s) this PR fixes:
开源之夏项目，实现一个pipeline，能够方便部署模型。尚在开发。
Fixes #
Special notes for your reviewers: