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48 lines
1.7 KiB
HTML
48 lines
1.7 KiB
HTML
🤗 Tokenizers is tested on Python 3.5+.
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You should install 🤗 Tokenizers in a
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`virtual environment <https://docs.python.org/3/library/venv.html>`_. If you're unfamiliar with
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Python virtual environments, check out the
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`user guide <https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/>`__.
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Create a virtual environment with the version of Python you're going to use and activate it.
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Installation with pip
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----------------------------------------------------------------------------------------------------
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🤗 Tokenizers can be installed using pip as follows::
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pip install tokenizers
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Installation from sources
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----------------------------------------------------------------------------------------------------
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To use this method, you need to have the Rust language installed. You can follow
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`the official guide <https://www.rust-lang.org/learn/get-started>`__ for more information.
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If you are using a unix based OS, the installation should be as simple as running::
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curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
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Or you can easiy update it with the following command::
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rustup update
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Once rust is installed, we can start retrieving the sources for 🤗 Tokenizers::
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git clone https://github.com/huggingface/tokenizers
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Then we go into the python bindings folder::
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cd tokenizers/bindings/python
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At this point you should have your `virtual environment`_ already activated. In order to
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compile 🤗 Tokenizers, you need to install the Python package :obj:`setuptools_rust`::
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pip install setuptools_rust
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Then you can have 🤗 Tokenizers compiled and installed in your virtual environment with
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the following command::
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python setup.py install
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