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Fix tapas scatter (#20149)

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* First draft

* Remove scatter dependency

* Add require_torch

* update vectorized sum test, add clone call

* remove artifacts

* fix style

* fix style v2

* remove "scatter" mentions from the code base

* fix isort error

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Bartosz Szmelczynski
2022-11-14 07:04:26 +01:00
committed by GitHub
parent f711d683b5
commit 78a471ff71
19 changed files with 77 additions and 194 deletions
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3
docs/source/en/model_doc/tapas.mdx
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@@ -69,8 +69,7 @@ To summarize:
<frameworkcontent>
<pt>
Initializing a model with a pre-trained base and randomly initialized classification heads from the hub can be done as shown below. Be sure to have installed the
[torch-scatter](https://github.com/rusty1s/pytorch_scatter) dependency:
Initializing a model with a pre-trained base and randomly initialized classification heads from the hub can be done as shown below.
```py
>>> from transformers import TapasConfig, TapasForQuestionAnswering