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TableQuestionAnsweringPipeline (#9145)

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* AutoModelForTableQuestionAnswering

* TableQuestionAnsweringPipeline

* Apply suggestions from Patrick's code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Sylvain and Patrick comments

* Better PyTorch/TF error message

* Add integration tests

* Argument Handler naming

Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* Fix docs to appease the documentation gods

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
This commit is contained in:
Lysandre Debut
2020-12-16 12:31:50 -05:00
committed by GitHub
parent 07384baf7a
commit 1c1a2ffbff
8 changed files with 602 additions and 27 deletions
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13
src/transformers/file_utils.py
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@@ -468,6 +468,13 @@ explained here: https://github.com/rusty1s/pytorch_scatter.
"""
# docstyle-ignore
PANDAS_IMPORT_ERROR = """
{0} requires the pandas library but it was not found in your environment. You can install it with pip as
explained here: https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html.
"""
def requires_datasets(obj):
name = obj.__name__ if hasattr(obj, "__name__") else obj.__class__.__name__
if not is_datasets_available():
@@ -522,6 +529,12 @@ def requires_protobuf(obj):
raise ImportError(PROTOBUF_IMPORT_ERROR.format(name))
def requires_pandas(obj):
name = obj.__name__ if hasattr(obj, "__name__") else obj.__class__.__name__
if not is_pandas_available():
raise ImportError(PANDAS_IMPORT_ERROR.format(name))
def requires_scatter(obj):
name = obj.__name__ if hasattr(obj, "__name__") else obj.__class__.__name__
if not is_scatter_available():