Tutorial: Creating a simple chatbot with transformers - Revision history

RobowaifuDev at 02:23, 4 May 2023

2023-05-04T02:23:33Z

← Older revision		Revision as of 19:23, 3 May 2023
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			{{Expand\|This tutorial is not complete yet!}}
	This tutorial will show you how to create your own [[Conversational AI\|chatbot]] in Python using Hugging Face's transformers library.		This tutorial will show you how to create your own [[Conversational AI\|chatbot]] in Python using Hugging Face's transformers library.

RobowaifuDev at 00:57, 14 October 2022

2022-10-14T00:57:59Z

← Older revision		Revision as of 17:57, 13 October 2022
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	=== Hello, Anon! ===		=== Hello, Anon! ===
	from transformers import ~~GPT2Tokenizer~~, OPTForCausalLM		<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]]

RobowaifuDev: WIP

2022-10-13T20:35:50Z

WIP

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This tutorial will show you how to create your own [[Conversational AI|chatbot]] in Python using Hugging Face's transformers library.

=== Getting started ===
First you'll need to install [https://www.python.org/downloads/ Python] and [https://pytorch.org/get-started/locally/ 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 GPT2Tokenizer, OPTForCausalLM
[[Category:Tutorial]]