报错图片
报错详情:

  ERROR: Command errored out with exit status 1:
   command: 'd:\mylearnsoft\miniconda\envs\pytorch\python.exe' 'd:\mylearnsoft\miniconda\envs\pytorch\lib\site-packages\pip\_vendor\pep517\in_process\_in_process.py' build_wheel 'C:\User
s\DYQ\AppData\Local\Temp\tmp9wfl_s60'
       cwd: C:\Users\DYQ\AppData\Local\Temp\pip-install-qemdbve4\tokenizers_5604c9283a1947a2aaac551ba3719e88
  Complete output (51 lines):
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build\lib.win-amd64-3.6
  creating build\lib.win-amd64-3.6\tokenizers
  copying py_src\tokenizers\__init__.py -> build\lib.win-amd64-3.6\tokenizers
  creating build\lib.win-amd64-3.6\tokenizers\models
  copying py_src\tokenizers\models\__init__.py -> build\lib.win-amd64-3.6\tokenizers\models
  creating build\lib.win-amd64-3.6\tokenizers\decoders
  copying py_src\tokenizers\decoders\__init__.py -> build\lib.win-amd64-3.6\tokenizers\decoders
  creating build\lib.win-amd64-3.6\tokenizers\normalizers
  copying py_src\tokenizers\normalizers\__init__.py -> build\lib.win-amd64-3.6\tokenizers\normalizers
  creating build\lib.win-amd64-3.6\tokenizers\pre_tokenizers
  copying py_src\tokenizers\pre_tokenizers\__init__.py -> build\lib.win-amd64-3.6\tokenizers\pre_tokenizers
  creating build\lib.win-amd64-3.6\tokenizers\processors
  copying py_src\tokenizers\processors\__init__.py -> build\lib.win-amd64-3.6\tokenizers\processors
  creating build\lib.win-amd64-3.6\tokenizers\trainers
  copying py_src\tokenizers\trainers\__init__.py -> build\lib.win-amd64-3.6\tokenizers\trainers
  creating build\lib.win-amd64-3.6\tokenizers\implementations
  copying py_src\tokenizers\implementations\base_tokenizer.py -> build\lib.win-amd64-3.6\tokenizers\implementations
  copying py_src\tokenizers\implementations\bert_wordpiece.py -> build\lib.win-amd64-3.6\tokenizers\implementations
  copying py_src\tokenizers\implementations\byte_level_bpe.py -> build\lib.win-amd64-3.6\tokenizers\implementations
  copying py_src\tokenizers\implementations\char_level_bpe.py -> build\lib.win-amd64-3.6\tokenizers\implementations
  copying py_src\tokenizers\implementations\sentencepiece_bpe.py -> build\lib.win-amd64-3.6\tokenizers\implementations
  copying py_src\tokenizers\implementations\sentencepiece_unigram.py -> build\lib.win-amd64-3.6\tokenizers\implementations
  copying py_src\tokenizers\implementations\__init__.py -> build\lib.win-amd64-3.6\tokenizers\implementations
  creating build\lib.win-amd64-3.6\tokenizers\tools
  copying py_src\tokenizers\tools\visualizer.py -> build\lib.win-amd64-3.6\tokenizers\tools
  copying py_src\tokenizers\tools\__init__.py -> build\lib.win-amd64-3.6\tokenizers\tools
  copying py_src\tokenizers\__init__.pyi -> build\lib.win-amd64-3.6\tokenizers
  copying py_src\tokenizers\models\__init__.pyi -> build\lib.win-amd64-3.6\tokenizers\models
  copying py_src\tokenizers\decoders\__init__.pyi -> build\lib.win-amd64-3.6\tokenizers\decoders
  copying py_src\tokenizers\normalizers\__init__.pyi -> build\lib.win-amd64-3.6\tokenizers\normalizers
  copying py_src\tokenizers\pre_tokenizers\__init__.pyi -> build\lib.win-amd64-3.6\tokenizers\pre_tokenizers
  copying py_src\tokenizers\processors\__init__.pyi -> build\lib.win-amd64-3.6\tokenizers\processors
  copying py_src\tokenizers\trainers\__init__.pyi -> build\lib.win-amd64-3.6\tokenizers\trainers
  copying py_src\tokenizers\tools\visualizer-styles.css -> build\lib.win-amd64-3.6\tokenizers\tools
  running build_ext
  running build_rust
  error: can't find Rust compiler

  If you are using an outdated pip version, it is possible a prebuilt wheel is available for this package but pip is not able to install from it. Installing from the wheel would avoid th
e need for a Rust compiler.

  To update pip, run:

      pip install --upgrade pip

  and then retry package installation.

  If you did intend to build this package from source, try installing a Rust compiler from your system package manager and ensure it is on the PATH during installation. Alternatively, ru
stup (available at https://rustup.rs) is the recommended way to download and update the Rust compiler toolchain.
  ----------------------------------------
  ERROR: Failed building wheel for tokenizers
Failed to build tokenizers
ERROR: Could not build wheels for tokenizers, which is required to install pyproject.toml-based projects

解决方式:添加版本号

pip install sentence-transformers==2.2.0
GitHub 加速计划 / tra / transformers
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huggingface/transformers: 是一个基于 Python 的自然语言处理库,它使用了 PostgreSQL 数据库存储数据。适合用于自然语言处理任务的开发和实现,特别是对于需要使用 Python 和 PostgreSQL 数据库的场景。特点是自然语言处理库、Python、PostgreSQL 数据库。
最近提交(Master分支:2 个月前 )
33868a05 * [i18n-HI] Translated accelerate page to Hindi * Update docs/source/hi/accelerate.md Co-authored-by: K.B.Dharun Krishna <kbdharunkrishna@gmail.com> * Update docs/source/hi/accelerate.md Co-authored-by: K.B.Dharun Krishna <kbdharunkrishna@gmail.com> * Update docs/source/hi/accelerate.md Co-authored-by: K.B.Dharun Krishna <kbdharunkrishna@gmail.com> * Update docs/source/hi/accelerate.md Co-authored-by: K.B.Dharun Krishna <kbdharunkrishna@gmail.com> --------- Co-authored-by: Kay <kay@Kays-MacBook-Pro.local> Co-authored-by: K.B.Dharun Krishna <kbdharunkrishna@gmail.com> 11 天前
e2ac16b2 * rework converter * Update modular_model_converter.py * Update modular_model_converter.py * Update modular_model_converter.py * Update modular_model_converter.py * cleaning * cleaning * finalize imports * imports * Update modular_model_converter.py * Better renaming to avoid visiting same file multiple times * start converting files * style * address most comments * style * remove unused stuff in get_needed_imports * style * move class dependency functions outside class * Move main functions outside class * style * Update modular_model_converter.py * rename func * add augmented dependencies * Update modular_model_converter.py * Add types_to_file_type + tweak annotation handling * Allow assignment dependency mapping + fix regex * style + update modular examples * fix modular_roberta example (wrong redefinition of __init__) * slightly correct order in which dependencies will appear * style * review comments * Performance + better handling of dependencies when they are imported * style * Add advanced new classes capabilities * style * add forgotten check * Update modeling_llava_next_video.py * Add prority list ordering in check_conversion as well * Update check_modular_conversion.py * Update configuration_gemma.py 11 天前
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