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* Tentative enabling of `batch_size` for pipelines. * Add systematic test for pipeline batching. * Enabling batch_size on almost all pipelines - Not `zero-shot` (it's already passing stuff as batched so trickier) - Not `QA` (preprocess uses squad features, we need to switch to real tensors at this boundary. * Adding `min_length_for_response` for conversational. * Making CTC, speech mappings avaiable regardless of framework. * Attempt at fixing automatic tests (ffmpeg not enabled for fast tests) * Removing ffmpeg dependency in tests. * Small fixes. * Slight cleanup. * Adding docs and adressing comments. * Quality. * Update docs/source/main_classes/pipelines.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/pipelines/question_answering.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/pipelines/zero_shot_classification.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Improving docs. * Update docs/source/main_classes/pipelines.rst Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com> * N -> oberved_batch_size softmax trick. * Follow `padding_side`. * Supporting image pipeline batching (and padding). * Rename `unbatch` -> `loader_batch`. * unbatch_size forgot. * Custom padding for offset mappings. * Attempt to remove librosa. * Adding require_audio. * torchaudio. * Back to using datasets librosa. * Adding help to set a pad_token on the tokenizer. * Update src/transformers/pipelines/base.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/pipelines/base.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/pipelines/base.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Quality. Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com> |
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| .. | ||
| _static | ||
| imgs | ||
| internal | ||
| main_classes | ||
| model_doc | ||
| add_new_model.rst | ||
| add_new_pipeline.rst | ||
| benchmarks.rst | ||
| bertology.rst | ||
| community.md | ||
| conf.py | ||
| contributing.md | ||
| converting_tensorflow_models.rst | ||
| custom_datasets.rst | ||
| debugging.rst | ||
| examples.md | ||
| fast_tokenizers.rst | ||
| favicon.ico | ||
| glossary.rst | ||
| index.rst | ||
| installation.md | ||
| migration.md | ||
| model_sharing.rst | ||
| model_summary.rst | ||
| multilingual.rst | ||
| notebooks.md | ||
| parallelism.md | ||
| performance.md | ||
| perplexity.rst | ||
| philosophy.rst | ||
| preprocessing.rst | ||
| pretrained_models.rst | ||
| quicktour.rst | ||
| sagemaker.md | ||
| serialization.rst | ||
| task_summary.rst | ||
| testing.rst | ||
| tokenizer_summary.rst | ||
| training.rst | ||
| troubleshooting.md | ||