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![]() * Enabling dataset iteration on pipelines. Enabling dataset iteration on pipelines. Unifying parameters under `set_parameters` function. Small fix. Last fixes after rebase Remove print. Fixing text2text `generate_kwargs` No more `self.max_length`. Fixing tf only conversational. Consistency in start/stop index over TF/PT. Speeding up drastically on TF (nasty bug where max_length would increase a ton.) Adding test for support for non fast tokenizers. Fixign GPU usage on zero-shot. Fix working on Tf. 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> Small cleanup. Remove all asserts + simple format. * Fixing audio-classification for large PR. * Overly explicity null checking. * Encapsulating GPU/CPU pytorch manipulation directly within `base.py`. * Removed internal state for parameters of the pipeline. Instead of overriding implicitly internal state, we moved to real named arguments on every `preprocess`, `_forward`, `postprocess` function. Instead `_sanitize_parameters` will be used to split all kwargs of both __init__ and __call__ into the 3 kinds of named parameters. * Move import warnings. * Small fixes. * Quality. * Another small fix, using the CI to debug faster. * Last fixes. * Last fix. * Small cleanup of tensor moving. * is not None. * Adding a bunch of docs + a iteration test. * Fixing doc style. * KeyDataset = None guard. * RRemoving the Cuda test for pipelines (was testing). * Even more simple iteration test. * Correct import . * Long day. * Fixes in docs. * [WIP] migrating object detection. * Fixed the target_size bug. * Fixup. * Bad variable name. * Fixing `ensure_on_device` respects original ModelOutput. |
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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 |