add push_to_hub to pipeline (#29172)
* add `push_to_hub` to pipeline * fix docs * format with ruff * update save_pretrained * update save_pretrained * remove unnecessary comment * switch to push_to_hub method in DynamicPipelineTester * remove unused imports * update docs for add_new_pipeline * fix docs for add_new_pipeline * add comment * fix italien docs * changes to token retrieval for pipelines * Update src/transformers/pipelines/base.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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@@ -208,14 +208,10 @@ from transformers import pipeline
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classifier = pipeline("pair-classification", model="sgugger/finetuned-bert-mrpc")
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```
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Then we can share it on the Hub by using the `save_pretrained` method in a `Repository`:
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Then we can share it on the Hub by using the `push_to_hub` method:
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```py
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from huggingface_hub import Repository
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repo = Repository("test-dynamic-pipeline", clone_from="{your_username}/test-dynamic-pipeline")
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classifier.save_pretrained("test-dynamic-pipeline")
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repo.push_to_hub()
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classifier.push_to_hub("test-dynamic-pipeline")
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```
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This will copy the file where you defined `PairClassificationPipeline` inside the folder `"test-dynamic-pipeline"`,
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