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…ion_penalty_in_tf_generate fix repetition penalty mask in tf
* Minimal example * Proposal 2 * Proposal 2 for fast tokenizers * Typings * Docs * Revert "Docs" for easier review This reverts commit eaf0f97. * Remove unnecessary assignments * Tests * Fix faulty type * Remove prints * return_outputs -> model_input_names * Revert "Revert "Docs" for easier review" This reverts commit 6fdc694. * code quality
* 1. seqeval required by ner pl example. install from examples/requirements. 2. unrecognized arguments: save_steps * pl checkpoint callback filenotfound error: make directory and pass * huggingface#3159 pl checkpoint path difference * 1. Updated Readme for pl 2. pl script now also correct displays logs 3. pass gpu ids compared to number of gpus * Updated results in readme * 1. updated readme 2. removing deprecated pl methods 3. finalizing scripts * comment length check * using deprecated validation_end for stable results * style related changes
…tion_tests_lm_generate_torch_tf Add integration tests lm generate torch tf
- Fix path of tokenizer - Clarify that the model is not trained on the evaluation set
- Clarify that the model is not trained on the evaluation dataset
Co-Authored-By: Thomas Wolf <[email protected]>
* add new default configs * change prefix default to None
* solve conflicts * move warnings below * incorporate changes * add pad_to_max_length to pipelines * add bug fix for T5 beam search * add prefix patterns * make style * fix conflicts * adapt pipelines for task specific parameters * improve docstring * remove unused patterns
* add bert bahasa readme * update readme * update readme * added xlnet
* fix merge conflicts * add t5 summarization example * change parameters for t5 summarization * make style * add first code snippet for translation * only add prefixes * add prefix patterns * make style * renaming * fix conflicts * remove unused patterns * solve conflicts * fix merge conflicts * remove translation example * remove summarization example * make sure tensors are in numpy for float comparsion * re-add t5 config * fix t5 import config typo * make style * remove unused numpy statements * update doctstring * import translation pipeline
* Add the missing token classification for XLM * fix styling * Add XLMForTokenClassification to AutoModelForTokenClassification class * Fix docstring typo for non-existing class * Add the missing token classification for XLM * fix styling * fix styling * Add XLMForTokenClassification to AutoModelForTokenClassification class * Fix docstring typo for non-existing class * Add missing description for AlbertForTokenClassification * fix styling * Add missing docstring for AlBert * Slow tests should be slow Co-authored-by: Sakares Saengkaew <[email protected]> Co-authored-by: LysandreJik <[email protected]>
* rebase to master * change tf to pytorch * change to pytorch * small fix * renaming * add gpu training possibility * renaming * improve README * incoorporate collins feedback * better Readme * better README.md
* add translation example * make style * adapt docstring * add gpu device as input for example * small renaming * better README
* delete lm_head, skips weight tying * Fixed s3
* Dummy inputs to model.device * Move self.device to ModuleUtilsMixin
…ingface#3400) * trim seq_len below 1024 if there are columns full of pad_token_id * Centralize trim_batch so SummarizationDataset can use it too
For some reason Sphinx extremely dislikes this and crashes.
T5-small in test isort
* add t5 docs basis * improve docs * add t5 docs * improve t5 docstring * add t5 tokenizer docstring * finish docstring * make style * add pretrained models * correct typo * make examples work * finalize docs
…ggingface#2991) * Use tokenizer.num_added_tokens to count number of added special_tokens instead of hardcoded numbers. Signed-off-by: Morgan Funtowicz <[email protected]> * run_ner.py - Do not add a label to the labels_ids if word_tokens is empty. This can happen when using bert-base-multilingual-cased with an input containing an unique space. In this case, the tokenizer will output just an empty word_tokens thus leading to an non-consistent behavior over the labels_ids tokens adding one more tokens than tokens vector. Signed-off-by: Morgan Funtowicz <[email protected]>
* force bleu * fix wrong file name * rename file * different filenames for each example test * test files should clean up after themselves * test files should clean up after themselves * do not force bleu * correct typo * fix isort
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