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61 lines
2.8 KiB
Markdown
61 lines
2.8 KiB
Markdown
# Installing Libraries Used In This Book
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This document provides more information on double-checking your installed Python version and packages. (Please see the [../01_optional-python-setup-preferences](../01_optional-python-setup-preferences) folder for more information on installing Python and Python packages.)
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I used the following libraries listed [here](https://github.com/rasbt/LLMs-from-scratch/blob/main/requirements.txt) for this book. Newer versions of these libraries are likely compatible as well. However, if you experience any problems with the code, you can try these library versions as a fallback.
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To install these requirements most conveniently, you can use the `requirements.txt` file in the root directory for this code repository and execute the following command:
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```bash
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pip install -r requirements.txt
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```
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Then, after completing the installation, please check if all the packages are installed and are up to date using
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```bash
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python python_environment_check.py
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```
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<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/check_1.jpg" width="600px">
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It's also recommended to check the versions in JupyterLab by running the `jupyter_environment_check.ipynb` in this directory, which should ideally give you the same results as above.
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<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/check_2.jpg" width="500px">
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If you see the following issues, it's likely that your JupyterLab instance is connected to wrong conda environment:
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<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/jupyter-issues.jpg" width="450px">
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In this case, you may want to use `watermark` to check if you opened the JupyterLab instance in the right conda environment using the `--conda` flag:
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<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/watermark.jpg" width="350px">
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<br>
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<br>
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## Installing PyTorch
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PyTorch can be installed just like any other Python library or package using pip. For example:
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```bash
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pip install torch==2.0.1
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```
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However, since PyTorch is a comprehensive library featuring CPU- and GPU-compatible codes, the installation may require additional settings and explanation (see the *A.1.3 Installing PyTorch in the book for more information*).
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It's also highly recommended to consult the installation guide menu on the official PyTorch website at [https://pytorch.org](https://pytorch.org).
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<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/setup/02_installing-python-libraries/pytorch-installer.jpg" width="600px">
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---
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Any questions? Please feel free to reach out in the [Discussion Forum](https://github.com/rasbt/LLMs-from-scratch/discussions).
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