Tutorial: Creating a simple chatbot with transformers: Difference between revisions
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=== Hello, Anon! === | === Hello, Anon! === | ||
<syntaxhighlight lang="python3" line="1"> | |||
from transformers import AutoTokenizer, OPTForCausalLM | |||
</syntaxhighlight> | |||
=== Next lesson === | |||
→ [[Tutorial: Creating a chatbot with a simple memory]] | |||
[[Category:Tutorial]] | [[Category:Tutorial]] |
Revision as of 17:57, 13 October 2022
This tutorial will show you how to create your own chatbot in Python using Hugging Face's transformers library.
Getting started
First you'll need to install Python and PyTorch. In this tutorial I will be using Python 3.10.7 and PyTorch 1.12.1+cu116.
Once Python and PyTorch are installed, install Hugging Face's transformers library.
Via Conda:
conda install -c huggingface transformers
Via Pip:
python -m pip install transformers --user
Now you're all set to do NLP with transformers.
Hello, Anon!
from transformers import AutoTokenizer, OPTForCausalLM