* Trainer: load checkpoint model with multiple adapters
* Trainer._load_from_checkpoint support multiple active adapters
* PeftModel.set_adapter does not support multiple adapters yet
* Trainer._load_from_checkpoint test multiple adapters
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Co-authored-by: Clara Luise Pohland <clara-luise.pohland@telekom.de>
* change cis
* nits
* update
* minor updates
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* nit [push-ci-image]
* nitsssss
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* both
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* this?
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* pypi-kenlm needs g++
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* nit
* more nits [push-ci-image]
* nits [push-ci-image]
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* add vision
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* add new dummy file but will need to update them [push-ci-image]
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* show package size as well
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* potentially ignore failures
* workflow updates
* nits [push-ci-image]
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* fix consistency
* clean nciida triton
* also show big packages [push-ci-image]
* nit
* update
* another one
* line escape?
* add accelerate [push-ci-image]
* updates [push-ci-image]
* nits to run tests, no push-ci
* try to parse skip reason to make sure nothing is skipped that should no be skippped
* nit?
* always show skipped reasons
* nits
* better parsing of the test outputs
* action="store_true",
* failure on failed
* show matched
* debug
* update short summary with skipped, failed and errors
* nits
* nits
* coolu pdates
* remove docbuilder
* fix
* always run checks
* oups
* nits
* don't error out on library printing
* non zero exi codes
* no warning
* nit
* WAT?
* format nit
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* fail if fail is needed
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* sound file for torch light?
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* order is important [push-ci-image]
* [push-ci-image] reduce even further
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* use pytest rich !
* yes [push-ci-image]
* oupsy
* bring back the full traceback, but pytest rich should help
* nit
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* re run
* nit
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* empty push to trigger
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* nit? [push-ci-image]
* empty
* try to install timm with no deps
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* oups [push-ci-image]
* [push-ci-image]
* [push-ci-image] ?
* [push-ci-image] open ssh client for git checkout fast
* empty for torch light
* updates [push-ci-image]
* nit
* @v4 for checkout
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* fix fetch tests with parallelism
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* more parallelism
* nit
* more nits
* empty to re-trigger
* empty to re-trigger
* split by timing
* did not work with previous commit
* junit.xml
* no path?
* mmm this?
* junitxml format
* split by timing
* nit
* fix junit family
* now we can test if the xunit1 is compatible!
* this?
* fully list tests
* update
* update
* oups
* finally
* use classname
* remove working directory to make sure the path does not interfere
* okay no juni should have the correct path
* name split?
* sort by classname is what make most sense
* some testing
* naem
* oups
* test something fun
* autodetect
* 18?
* nit
* file size?
* uip
* 4 is best
* update to see versions
* better print
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* please install the correct keras version
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* uv is fucking me up
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* nits
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* install issues an pins
* tapas as well
* nits
* more paralellism
* short tb
* soundfile
* soundfile
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* oups
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* fix some things
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* use torch-light for hub
* small git lfs for hub job
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* fix tf tapas
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* nits
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* don't update the test
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* no use them
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* update tf proba
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* test with built dockers
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* skip annoying tests
* revert fix copy
* update test values
* update
* last skip and fixup
* nit
* ALL GOOOD
* quality
* Update tests/models/layoutlmv2/test_image_processing_layoutlmv2.py
* Update docker/quality.dockerfile
Co-authored-by: Lysandre Debut <hi@lysand.re>
* Update src/transformers/models/tapas/modeling_tf_tapas.py
Co-authored-by: Lysandre Debut <hi@lysand.re>
* Apply suggestions from code review
Co-authored-by: Lysandre Debut <hi@lysand.re>
* use torch-speed
* updates
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* fuck ken-lm [push-ci-image]
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Co-authored-by: Lysandre Debut <hi@lysand.re>
* Gemma: only display act. warning when necessary
This is a nit PR, but I was confused. I got the warning even after I
had changed `hidden_act` to `gelu_pytorch_tanh`, telling me that I
was using the "legacy" `gelu_pytorch_tanh`.
Another option is to keep the warning but change the message to say
something like "`hidden_act` is ignored, please use `hidden_activation`
instead. Setting Gemma's activation function to `gelu_pytorch_tanh`".
* Change message, and set `config.hidden_activation`
* Temporarily silence warnings in apply_chat_template until we can properly deprecate default chat templates
* make fixup
* Move the default chat template warning into apply_chat_template itself
* make fixup
* move scaling to nn.Module
* let the test be here for now (need to fix)
* failing tests
* last failing models
* Revert commit 4c14817f38
* clean-up
* oops forgot
* codestyle
* raise NotImplemented when possible
* Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* skip tests in respective modeling files
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Clara Pohland