GitLab

* improve docs/errors

* why whisper

* Update docs/source/en/pipeline_tutorial.md
Co-authored-by: Lysandre Debut <hi@lysand.re>

* specify pt only

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Co-authored-by: Lysandre Debut <hi@lysand.re>

* support loading base64 images

* add test

* mention in docs

* remove the logging

* sort imports

* update error message

* Update tests/utils/test_image_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* restructure to catch base64 exception

* doesn't like the newline

* download files

* format

* optimize imports

* guess it needs a space?

* support loading base64 images

* add test

* remove the logging

* sort imports

* restructure to catch base64 exception

* doesn't like the newline

* download files

* optimize imports

* guess it needs a space?

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Rename index.mdx to index.md

* With saved modifs

* Address review comment

* Treat all files

* .mdx -> .md

* Remove special char

* Update utils/tests_fetcher.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

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Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

generator(model="openai/whisper-large") always returns error. As the error says the generator expects an input, just like the .flac file above. Even the generator object has no parameters called model. While there are parameters which can be passed to generator like 'batch_size' but to pass a model i believe the the parameter has to be passed while instantiating the pipeline and not as a parameter to the instance.

I believe the correct term should be:

generator = pipeline(model="openai/whisper-large", device=0)

update values
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* v1 fix

* adapt from suggestions

* make style

* fix tests

* add gpu tests

* update docs

* fix other tests

* Apply suggestions from code review
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* better fix

* make fixup

* better example

* revert changes

* proposal

* more elegant solution

* Update src/transformers/pipelines/automatic_speech_recognition.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fixed the following:
pipe -> pipeline
out in pipe(data()) is a list of dict, not a dict

* Fixed the TypeError: __init__() missing 1 required positional argument: 'key'

* Added a tip: code sample requires additional libraries to run

* Fixed custom config's name

* added seqeval to the required libraries

* fixed a missing dependency,
fixed metric naming,
added checkpoint to fix the datacollator

* added checkpoint to fix the datacollator,
added missing dependency

fix header level

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* [WIP] Rework the pipeline tutorial

- Switch to `asr` instead of another NLP task.
- It also has simpler to understand results.
- Added a section with interaction with `datasets`.
- Added a section with writing a simple webserver.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Addressing comments.

* Links.

* Fixing docs format.

* Adding pipeline_webserver to _toctree.

* Warnig -> Tip warnings={true}.

* Fix link ?

* Links ?

* Fixing link, adding chunk batching.

* Oops.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/pipeline_tutorial.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* move generation_*.py src files into generation/*.py

* populate generation.__init__ with lazy loading

* move imports and references from generation.xxx.object to generation.object

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* 📝 add example of multimodal usage to pipeline tutorial

* 🖍 apply feedbacks

* 🖍 apply niels feedback

* Delete valohai.yaml

* NLP => ML

* typo

* website supports https

* datasets

* 60k + modalities

* unrelated link fixing for accelerate

* Ok those links were actually broken

* Fix link

* Make `AutoTokenizer` auto-link

* wording tweak

* add at least one non-nlp task

* Reorganize doc for multilingual support

* Fix style

* Style

* Toc trees

* Adapt templates

* first draft of pipeline, autoclass, preprocess tutorials

* apply review feedback

* 🖍 apply feedback from patrick/niels

* 📝add output image to preprocessed image

* 🖍 apply feedback from patrick