- 26 Oct, 2020 1 commit
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Sylvain Gugger authored
* Important files * Styling them all * Revert "Styling them all" This reverts commit 7d029395fdae8513b8281cbc2a6c239f8093503e. * Syling them for realsies * Fix syntax error * Fix benchmark_utils * More fixes * Fix modeling auto and script * Remove new line * Fixes * More fixes * Fix more files * Style * Add FSMT * More fixes * More fixes * More fixes * More fixes * Fixes * More fixes * More fixes * Last fixes * Make sphinx happy
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- 23 Sep, 2020 1 commit
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Sylvain Gugger authored
* Clean up model documentation * Formatting * Preparation work * Long lines * Main work on rst files * Cleanup all config files * Syntax fix * Clean all tokenizers * Work on first models * Models beginning * FaluBERT * All PyTorch models * All models * Long lines again * Fixes * More fixes * Update docs/source/model_doc/bert.rst Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * Update docs/source/model_doc/electra.rst Co-authored-by:
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- 02 Sep, 2020 1 commit
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Suraj Patil authored
* add Text2TextGenerationPipeline * remove max length warning * remove comments * remove input_length * fix typo * add tests * use TFAutoModelForSeq2SeqLM * doc * typo * add the doc below TextGenerationPipeline * doc nit * style * delete comment
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- 04 Aug, 2020 1 commit
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Joe Davison authored
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- 03 Aug, 2020 1 commit
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Sylvain Gugger authored
* Init work on pipelines doc * Work in progress * Work in progress * Doc pipelines * Rm unwanted default * Apply suggestions from code review Lysandre comments Co-authored-by:
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- 30 Jul, 2020 1 commit
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guillaume-be authored
* initial commit for pipeline implementation Addition of input processing and history concatenation * Conversation pipeline tested and working for single & multiple conversation inputs * Added docstrings for dialogue pipeline * Addition of dialogue pipeline integration tests * Delete test_t5.py * Fixed max code length * Updated styling * Fixed test broken by formatting tools * Removed unused import * Added unit test for DialoguePipeline * Fixed Tensorflow compatibility * Fixed multi-framework support using framework flag * - Fixed docstring - Added `min_length_for_response` as an initialization parameter - Renamed `*args` to `conversations`, `conversations` being a `Conversation` or a `List[Conversation]` - Updated truncation to truncate entire segments of conversations, instead of cutting in the middle of a user/bot input * - renamed pipeline name from dialogue to conversational - removed hardcoded default value of 1000 and use config.max_length instead - added `append_response` and `set_history` method to the Conversation class to avoid direct fields mutation - fixed bug in history truncation method * - Updated ConversationalPipeline to accept only active conversations (otherwise a ValueError is raised) * - Simplified input tensor conversion * - Updated attention_mask value for Tensorflow compatibility * - Updated last dialogue reference to conversational & fixed integration tests * Fixed conflict with master * Updates following review comments * Updated formatting * Added Conversation and ConversationalPipeline to the library __init__, addition of docstrings for Conversation, added both to the docs * Update src/transformers/pipelines.py Updated docsting following review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
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- 22 Jun, 2020 1 commit
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Sylvain Gugger authored
* Quicktour part 1 * Update * All done * Typos Co-authored-by:
Thomas Wolf <thomwolf@users.noreply.github.com> * Address comments in quick tour * Update docs/source/quicktour.rst Co-authored-by:
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- 16 Jun, 2020 1 commit
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Sylvain Gugger authored
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- 03 Jun, 2020 1 commit
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Julien Chaumond authored
* [hf_api] Attach all unknown attributes for future-proof compatibility * [Pipeline] NerPipeline is really a TokenClassificationPipeline * modelcard.py: I don't think we need to force the download * Remove config, tokenizer from SUPPORTED_TASKS as we're moving to one model = one weight + one tokenizer * FillMaskPipeline: also output token in string form * TextClassificationPipeline: option to return all scores, not just the argmax * Update docs/source/main_classes/pipelines.rst
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- 22 Apr, 2020 1 commit
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Lorenzo Ampil authored
* Add GenerationPipeline * Fix parameter names * Correct parameter __call__ parameters * Add model type attribute and correct function calls for prepare_input * Take out trailing commas from init attributes * Remove unnecessary tokenization line * Implement support for multiple text inputs * Apply generation support for multiple input text prompts * Take out tensor coersion * Take out batch index * Add text prompt to return sequence * Squeeze token tensore before decoding * Return only a single list of sequences if only one prompt was used * Correct results variable name * Add GenerationPipeline to SUPPORTED_TASKS with the alias , initalized w GPT2 * Registedred AutoModelWithLMHead for both pt and t * Update docstring for GenerationPipeline * Add kwargs parameter to mode.generate * Take out kwargs parameter after all * Add generation pipeline example in pipeline docstring * Fix max length by squeezing tokens tensor * Apply ensure_tensor_on_device to pytorch tensor * Include generation step in torch.no_grad * Take out input from prepare_xlm_input and set 'en' as default xlm_language * Apply framework specific encoding during prepare_input * Format w make style * Move GenerationPipeline import to follow proper import sorting * Take out training comma from generation dict * Apply requested changes * Change name to TextGenerationPipeline * Apply TextGenerationPipeline rename to __init___ * Changing alias to * Set input mapping as input to ensure_tensor_on_device * Fix assertion placement * Add test_text_generation * Add TextGenerationPipeline to PipelineCommonTests * Take out whitespace * Format __init__ w black * Fix __init__ style * Forman __init___ * Add line to end of __init__ * Correct model tokenizer set for test_text_generation * Ensure to return list of list, not list of string (to pass test) * Limit test models to only 3 to limit runtime to address circleCI timeout error * Update src/transformers/pipelines.py Co-Authored-By:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines.py Co-Authored-By:
Julien Chaumond <chaumond@gmail.com>
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- 17 Mar, 2020 1 commit
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Sam Shleifer authored
* passing * Undo stupid chg * docs * undo rename * delete-cruft * only import if you have torch * Dont rely on dict ordering * Fix dict ordering upstream * docstring link * docstring link * remove trailing comma for 3.5 compat * new name * delegate kwarging * Update kwargs
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- 02 Mar, 2020 1 commit
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Lysandre Debut authored
* Pipeline doc initial commit * pipeline abstraction * Remove modelcard argument from pipeline * Task-specific pipelines can be instantiated with no model or tokenizer * All pipelines doc
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