GitLab

* See if we can get tests to pass with the fixed weights

* See if we can get tests to pass with the fixed weights

* Replace the revisions now that we don't need them anymore

* Patch fix - don't use safetensors for TF models

* Skip test for TF for now

* Update for another test

* Script & Manual edition

* Update

* Fix issues in add and is_done for BeamHypotheses

* make newly added arguments optional for better compatibility

* Directly use cur_len as generated_len, add note for retrocompatibility

* update test expectation

* make cur_len represents the length of the entire sequence including the decoder prompt

* remove redundant if/else in testing

* Fix beam score calculation issue for decoder-only models

* Update beam search test and fix code quality issue

* Fix beam_sample, group_beam_search and constrained_beam_search

* Split test for pytorch and TF, add documentation

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Co-authored-by: Xin Qiu <xin.qiu@sentient.ai>

* Fix TypeError: Object of type int64 is not JSON serializable

* Convert numpy.float64 and numpy.int64 to float and int for json serialization

* Black reformatted examples/pytorch/token-classification/run_ner_no_trainer.py

* * make style

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies