Add many missing spaces in adjacent strings (#26751)
Add missing spaces in adjacent strings
This commit is contained in:
@@ -487,7 +487,7 @@ def main():
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and not training_args.overwrite_output_dir
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):
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raise ValueError(
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f"Output directory ({training_args.output_dir}) already exists and is not empty."
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f"Output directory ({training_args.output_dir}) already exists and is not empty. "
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"Use --overwrite_output_dir to overcome."
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)
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@@ -606,7 +606,7 @@ def main():
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)
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else:
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raise ValueError(
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"You are instantiating a new tokenizer from scratch. This is not supported by this script."
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"You are instantiating a new tokenizer from scratch. This is not supported by this script. "
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"You can do it from another script, save it, and load it from here, using --tokenizer_name."
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)
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@@ -190,7 +190,7 @@ class ModelArguments:
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metadata={
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"help": (
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"Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
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"should only be set to `True` for repositories you trust and in which you have read the code, as it will"
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"should only be set to `True` for repositories you trust and in which you have read the code, as it will "
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"execute code present on the Hub on your local machine."
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)
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},
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@@ -368,7 +368,7 @@ def main():
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and not training_args.overwrite_output_dir
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):
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raise ValueError(
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f"Output directory ({training_args.output_dir}) already exists and is not empty."
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f"Output directory ({training_args.output_dir}) already exists and is not empty. "
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"Use --overwrite_output_dir to overcome."
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)
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@@ -524,7 +524,7 @@ def main():
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)
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else:
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raise ValueError(
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"You are instantiating a new tokenizer from scratch. This is not supported by this script."
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"You are instantiating a new tokenizer from scratch. This is not supported by this script. "
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"You can do it from another script, save it, and load it from here, using --tokenizer_name."
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)
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@@ -586,7 +586,7 @@ def main():
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else:
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if data_args.block_size > tokenizer.model_max_length:
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logger.warning(
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f"The block_size passed ({data_args.block_size}) is larger than the maximum length for the model"
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f"The block_size passed ({data_args.block_size}) is larger than the maximum length for the model "
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f"({tokenizer.model_max_length}). Using block_size={tokenizer.model_max_length}."
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)
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block_size = min(data_args.block_size, tokenizer.model_max_length)
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@@ -195,7 +195,7 @@ class ModelArguments:
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metadata={
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"help": (
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"Whether or not to allow for custom models defined on the Hub in their own modeling files. This option"
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"should only be set to `True` for repositories you trust and in which you have read the code, as it will"
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"should only be set to `True` for repositories you trust and in which you have read the code, as it will "
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"execute code present on the Hub on your local machine."
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)
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},
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@@ -411,7 +411,7 @@ def main():
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and not training_args.overwrite_output_dir
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):
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raise ValueError(
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f"Output directory ({training_args.output_dir}) already exists and is not empty."
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f"Output directory ({training_args.output_dir}) already exists and is not empty. "
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"Use --overwrite_output_dir to overcome."
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)
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@@ -556,7 +556,7 @@ def main():
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)
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else:
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raise ValueError(
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"You are instantiating a new tokenizer from scratch. This is not supported by this script."
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"You are instantiating a new tokenizer from scratch. This is not supported by this script. "
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"You can do it from another script, save it, and load it from here, using --tokenizer_name."
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)
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@@ -528,7 +528,7 @@ def main():
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and not training_args.overwrite_output_dir
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):
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raise ValueError(
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f"Output directory ({training_args.output_dir}) already exists and is not empty."
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f"Output directory ({training_args.output_dir}) already exists and is not empty. "
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"Use --overwrite_output_dir to overcome."
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)
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@@ -647,7 +647,7 @@ def main():
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)
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else:
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raise ValueError(
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"You are instantiating a new tokenizer from scratch. This is not supported by this script."
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"You are instantiating a new tokenizer from scratch. This is not supported by this script. "
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"You can do it from another script, save it, and load it from here, using --tokenizer_name."
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)
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