* 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
* [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
* 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
