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[pipeline doc] fix api #15660

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stas00 merged 2 commits into from
Feb 15, 2022
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[pipeline doc] fix api #15660

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c6808a0
[pipeline doc] fix api
stas00 Feb 15, 2022
25d07d8
remove duplicate
stas00 Feb 15, 2022
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5 changes: 2 additions & 3 deletions src/transformers/pipelines/__init__.py
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Expand Up @@ -444,16 +444,15 @@ def pipeline(
If no framework is specified, will default to the one currently installed. If no framework is specified and
both frameworks are installed, will default to the framework of the `model`, or to PyTorch if no model is
provided.
revision(`str`, *optional*, defaults to `"main"`):
revision (`str`, *optional*, defaults to `"main"`):
When passing a task name or a string model identifier: The specific model version to use. It can be a
branch name, a tag name, or a commit id, since we use a git-based system for storing models and other
artifacts on huggingface.co, so `revision` can be any identifier allowed by git.
use_fast (`bool`, *optional*, defaults to `True`):
Whether or not to use a Fast tokenizer if possible (a [`PreTrainedTokenizerFast`]).
use_auth_token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
when running `transformers-cli login` (stored in `~/.huggingface`). revision(`str`, *optional*, defaults to
`"main"`):
when running `transformers-cli login` (stored in `~/.huggingface`).
model_kwargs:
Additional dictionary of keyword arguments passed along to the model's `from_pretrained(...,
**model_kwargs)` function.
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