* Correct the new defaults
* CIs
* add check
* Update utils.py
* Update utils.py
* Add the max_length in generate test checking shape without passing length
* style
* CIs
* fix fx CI issue
When loading a LoRA adapter, so far, there was only a warning when there
were unexpected keys in the checkpoint. Now, there is also a warning
when there are missing keys.
This change is consistent with
https://github.com/huggingface/peft/pull/2118 in PEFT and the planned PR
https://github.com/huggingface/diffusers/pull/9622 in diffusers.
Apart from this change, the error message for unexpected keys was
slightly altered for consistency (it should be more readable now). Also,
besides adding a test for the missing keys warning, a test for
unexpected keys warning was also added, as it was missing so far.
* translated gguf.md into chinese
* Apply suggestions from code review
I have updated the PR accordingly.Thank you very much for detailed guidance,and I 'll pay more attention to the details next time.
Co-authored-by: Isotr0py <2037008807@qq.com>
* Apply suggestions from code review
Co-authored-by: Isotr0py <2037008807@qq.com>
---------
Co-authored-by: Isotr0py <2037008807@qq.com>
* Add SynthIDTextWatermarkLogitsProcessor
* esolving comments.
* Resolving comments.
* esolving commits,
* Improving SynthIDWatermark tests.
* switch to PT version
* detector as pretrained model + style
* update training + style
* rebase
* Update logits_process.py
* Improving SynthIDWatermark tests.
* Shift detector training to wikitext negatives and stabilize with lower learning rate.
* Clean up.
* in for 7B
* cleanup
* upport python 3.8.
* README and final cleanup.
* HF Hub upload and initiaze.
* Update requirements for synthid_text.
* Adding SynthIDTextWatermarkDetector.
* Detector testing.
* Documentation changes.
* Copyrights fix.
* Fix detector api.
* ironing out errors
* ironing out errors
* training checks
* make fixup and make fix-copies
* docstrings and add to docs
* copyright
* BC
* test docstrings
* move import
* protect type hints
* top level imports
* watermarking example
* direct imports
* tpr fpr meaning
* process_kwargs
* SynthIDTextWatermarkingConfig docstring
* assert -> exception
* example updates
* no immutable dict (cant be serialized)
* pack fn
* einsum equivalent
* import order
* fix test on gpu
* add detector example
---------
Co-authored-by: Sumedh Ghaisas <sumedhg@google.com>
Co-authored-by: Marc Sun <marc@huggingface.co>
Co-authored-by: sumedhghaisas2 <138781311+sumedhghaisas2@users.noreply.github.com>
Co-authored-by: raushan <raushan@huggingface.co>
* Enable grad accum fix across all models + trainer fully in forward()
* handle peft case
* Account for DDP: need to run scale tests
* Use accelerator state
* Quality
* Guard
* Experiment w/ only fairseq fix
* Fairseq only
* Revert multiply_grads fix
* Mult by grad accum to fully bring back solution
* Style
* Good to go now
* Skip fx tests for now
* Bookmark
* Working now
* Added Deberta model type for 'add_prefix_space' functionality
* housekeeping
---------
Co-authored-by: Filippos Ventirozos <filippos.ventirozos@autotrader.co.uk>
* Added Example Doc for token classification on all tokenClassificationModels copied from llama
* Refactor code to add code sample docstrings for Gemma and Gemma2 models (including modular Gemma)
* Refactor code to update model checkpoint names for Qwen2 models
* Add option for running ffmpeg_microphone_live as a background process
* Code quality checks for audio_utils
* Code clean up for audio_utils
* Fixing logic in ffmpeg_microphone calls in audio_utils
* Allowing any arbitrary arguments to be passed to ffmpeg_microphone_live
* Formatting
* Fixing last problems with adding ffmpeg_additional_args
* Fixing default arguments and formatting issues
* Fixing comments for ffmpeg_additional_args
* Adding two shorts tests for ffmpeg_microphone_live
* Fixing test bug
* add colorize_depth and matplotlib availability check
* add post_process_depth_estimation for zoedepth + tests
* add post_process_depth_estimation for DPT + tests
* add post_process_depth_estimation in DepthEstimationPipeline & special case for zoedepth
* run `make fixup`
* fix import related error on tests
* fix more import related errors on test
* forgot some `torch` calls in declerations
* remove `torch` call in zoedepth tests that caused error
* updated docs for depth estimation
* small fix for `colorize` input/output types
* remove `colorize_depth`, fix various names, remove matplotlib dependency
* fix formatting
* run fixup
* different images for test
* update examples in `forward` functions
* fixed broken links
* fix output types for docs
* possible format fix inside `<Tip>`
* Readability related updates
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Readability related update
* cleanup after merge
* refactor `post_process_depth_estimation` to return dict; simplify ZoeDepth's `post_process_depth_estimation`
* rewrite dict merging to support python 3.8
---------
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* this worked in normal generation, needs more tests
* fix almost all tests in t5
* nit
* longt5, umt5, mt5
* style
* udop, pix2struct
* more models
* fix some tests
* fix onnx tests
* tracing tests fixed
* compile enabled and tested for t5 models
* fix small bug in slow tests
* [run-slow] t5
* uncomment
* style
* update with new generation refactoring
* nit
* fix copies
* this is the fix, had to change t5 to fix copies
* update
* [run-slow] t5
* [run-slow] t5
* update
* add test for encoder only T5
* clean up after rebase
* fix pop2piano
* add comment
* style
* fix copies after rebase
* fix copies missed this one
