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>

docs/source/de/add_new_pipeline.md

@@ -208,14 +208,10 @@ from transformers import pipeline
 classifier = pipeline("pair-classification", model="sgugger/finetuned-bert-mrpc")
 ```
 
-Dann können wir sie auf dem Hub mit der Methode `save_pretrained` in einem `Repository` freigeben:
+Dann können wir sie auf dem Hub mit der Methode `push_to_hub` freigeben:
 
 ```py
-from huggingface_hub import Repository
-
-repo = Repository("test-dynamic-pipeline", clone_from="{your_username}/test-dynamic-pipeline")
-classifier.save_pretrained("test-dynamic-pipeline")
-repo.push_to_hub()
+classifier.push_to_hub("test-dynamic-pipeline")
 ```
 
 Dadurch wird die Datei, in der Sie `PairClassificationPipeline` definiert haben, in den Ordner `"test-dynamic-pipeline"` kopiert,

docs/source/en/add_new_pipeline.md

@@ -208,14 +208,10 @@ from transformers import pipeline
 classifier = pipeline("pair-classification", model="sgugger/finetuned-bert-mrpc")
 ```
 
-Then we can share it on the Hub by using the `save_pretrained` method in a `Repository`:
+Then we can share it on the Hub by using the `push_to_hub` method:
 
 ```py
-from huggingface_hub import Repository
-
-repo = Repository("test-dynamic-pipeline", clone_from="{your_username}/test-dynamic-pipeline")
-classifier.save_pretrained("test-dynamic-pipeline")
-repo.push_to_hub()
+classifier.push_to_hub("test-dynamic-pipeline")
 ```
 
 This will copy the file where you defined `PairClassificationPipeline` inside the folder `"test-dynamic-pipeline"`,

docs/source/es/add_new_pipeline.md

@@ -212,14 +212,10 @@ from transformers import pipeline
 classifier = pipeline("pair-classification", model="sgugger/finetuned-bert-mrpc")
 ```
 
-Ahora podemos compartirlo en el Hub usando el método `save_pretrained` (guardar pre-entrenado) en un `Repository`:
+Ahora podemos compartirlo en el Hub usando el método `save_pretrained`:
 
 ```py
-from huggingface_hub import Repository
-
-repo = Repository("test-dynamic-pipeline", clone_from="{your_username}/test-dynamic-pipeline")
-classifier.save_pretrained("test-dynamic-pipeline")
-repo.push_to_hub()
+classifier.push_to_hub("test-dynamic-pipeline")
 ```
 
 Esto copiará el archivo donde definiste `PairClassificationPipeline` dentro de la carpeta `"test-dynamic-pipeline"`,

docs/source/it/add_new_pipeline.md

@@ -202,14 +202,10 @@ from transformers import pipeline
 classifier = pipeline("pair-classification", model="sgugger/finetuned-bert-mrpc")
 ```
 
-Successivamente possiamo condividerlo sull'Hub usando il metodo `save_pretrained` in un `Repository`:
+Successivamente possiamo condividerlo sull'Hub usando il metodo `push_to_hub`
 
 ```py
-from huggingface_hub import Repository
-
-repo = Repository("test-dynamic-pipeline", clone_from="{your_username}/test-dynamic-pipeline")
-classifier.save_pretrained("test-dynamic-pipeline")
-repo.push_to_hub()
+classifier.push_to_hub("test-dynamic-pipeline")
 ```
 
 Questo codice copierà il file dove è stato definitp `PairClassificationPipeline` all'interno della cartella `"test-dynamic-pipeline"`,

docs/source/ko/add_new_pipeline.md

@@ -203,14 +203,10 @@ from transformers import pipeline
 classifier = pipeline("pair-classification", model="sgugger/finetuned-bert-mrpc")
 ```
 
-그런 다음 `Repository`의 `save_pretrained` 메소드를 사용하여 허브에 공유할 수 있습니다:
+그런 다음 `push_to_hub` 메소드를 사용하여 허브에 공유할 수 있습니다:
 
 ```py
-from huggingface_hub import Repository
-
-repo = Repository("test-dynamic-pipeline", clone_from="{your_username}/test-dynamic-pipeline")
-classifier.save_pretrained("test-dynamic-pipeline")
-repo.push_to_hub()
+classifier.push_to_hub("test-dynamic-pipeline")
 ```
 
 이렇게 하면 "test-dynamic-pipeline" 폴더 내에 `PairClassificationPipeline`을 정의한 파일이 복사되며, 파이프라인의 모델과 토크나이저도 저장한 후, `{your_username}/test-dynamic-pipeline` 저장소에 있는 모든 것을 푸시합니다.