Converts `image` to a PIL Image. Optionally rescales it and puts the channel dimension back as the last axis if needed. Args: im

Convert Language Codes to format tokenizer uses if required

Create the repo if needed, cleans up repo_id with deprecated kwargs `repo_url` and `organization`, retrieves the token.

Returns the list of files with their last modification timestamp.

Uploads all modified files in `working_dir` to `repo_id`, based on `files_timestamps`.

This method forwards all its arguments to PreTrainedTokenizer's [`~PreTrainedTokenizer.decode`]. Please refer to the docstring of thi

Determines the framework to use for the export. The priority is in the following order: 1. User input via `framework`.

Imports transformers directly Args: path (`str`): The path to the source file file (`str`, optional): The file to join with the p

Get element from dictionary by path. If element is not present, recursively add empty dictionaries. Args: d (dict): the dictionary t

Retrieves all the files associated to a model. Args: model_type (`str`): A valid model type (like "bert" or "gpt2") framewor

Pads a batch of images with zeros to the size of largest height and width in the batch and optionally returns their corresponding pix

A utility to add some content inside a given file. Args: file_name (`str` or `os.PathLike`): The name of the file in which we want to

A utility to add some content inside a given text. Args: text (`str`): The text in which we want to insert some content. conte

This method forwards all its arguments to BertTokenizerFast's [`~PreTrainedTokenizer.decode`]. Please refer to the docstring of this

Filter a list of files to only keep the ones corresponding to a list of frameworks. Args: files (`List[Union[str, os.PathLike]]`): T

r""" Example: ```python >>> from transformers import VisionEncoderDecoderModel, AutoImageProcessor, AutoTokenizer >>>

Tries to locate a file in a local folder and repo, downloads and cache it if necessary. Args: path_or_repo (`str` or `os.PathLike`):

Function extracts relevant parameters into flatten dict from model params, appends batch normalization statistics if present

Find the target (height, width) dimension of the output image after resizing given the input image and the desired size. Args: i

Converts a config key to the corresponding module.

When used in normal mode, this method forwards all its arguments to Wav2Vec2FeatureExtractor's [`~Wav2Vec2FeatureExtractor.pad`] and