mirror of
https://github.com/huggingface/transformers.git
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4df2529d79
* setup * start the purge * continue the purge * more and more * more * continue the quest: remove loading tf/jax checkpoints * style * fix configs * oups forgot conflict * continue * still grinding * always more * in tje zone * never stop * should fix doc * fic * fix * fix * fix tests * still tests * fix non-deterministic * style * remove last rebase issues * onnx configs * still on the grind * always more references * nearly the end * could it really be the end? * small fix * add converters back * post rebase * latest qwen * add back all converters * explicitly add functions in converters * re-add
62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
#!/usr/bin/env python
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# Copyright 2020 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import warnings
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from transformers import HfArgumentParser
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from transformers.commands.add_fast_image_processor import AddFastImageProcessorCommand
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from transformers.commands.add_new_model_like import AddNewModelLikeCommand
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from transformers.commands.chat import ChatCommand
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from transformers.commands.download import DownloadCommand
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from transformers.commands.env import EnvironmentCommand
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from transformers.commands.run import RunCommand
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from transformers.commands.serving import ServeCommand
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def main_cli():
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warnings.warn(
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"`transformers-cli` is deprecated in favour of `transformers` directly and will be removed in v5.",
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DeprecationWarning,
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)
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main()
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def main():
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parser = HfArgumentParser(prog="Transformers CLI tool", usage="transformers <command> [<args>]")
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commands_parser = parser.add_subparsers(help="transformers command helpers")
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# Register commands
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ChatCommand.register_subcommand(commands_parser)
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DownloadCommand.register_subcommand(commands_parser)
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EnvironmentCommand.register_subcommand(commands_parser)
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RunCommand.register_subcommand(commands_parser)
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ServeCommand.register_subcommand(commands_parser)
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AddNewModelLikeCommand.register_subcommand(commands_parser)
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AddFastImageProcessorCommand.register_subcommand(commands_parser)
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# Let's go
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args = parser.parse_args()
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if not hasattr(args, "func"):
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parser.print_help()
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exit(1)
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# Run
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service = args.func(args)
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service.run()
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if __name__ == "__main__":
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main()
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