Broken links fixed related to datasets docs (#27569)
fixed the broken links belogs to dataset library of transformers
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@@ -10,7 +10,7 @@ way which enables simple and efficient model parallelism.
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`run_image_captioning_flax.py` is a lightweight example of how to download and preprocess a dataset from the 🤗 Datasets
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library or use your own files (jsonlines or csv), then fine-tune one of the architectures above on it.
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For custom datasets in `jsonlines` format please see: https://huggingface.co/docs/datasets/loading_datasets.html#json-files and you also will find examples of these below.
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For custom datasets in `jsonlines` format please see: https://huggingface.co/docs/datasets/loading_datasets#json-files and you also will find examples of these below.
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### Download COCO dataset (2017)
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This example uses COCO dataset (2017) through a custom dataset script, which requires users to manually download the
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@@ -494,7 +494,7 @@ def main():
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token=model_args.token,
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)
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# See more about loading any type of standard or custom dataset (from files, python dict, pandas DataFrame, etc) at
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# https://huggingface.co/docs/datasets/loading_datasets.html.
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# https://huggingface.co/docs/datasets/loading_datasets.
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# Load pretrained model and tokenizer
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model = FlaxVisionEncoderDecoderModel.from_pretrained(
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