Apr 9, 2024

AI Chains

An AI chain, also known as an AI model chain, refers to a series of connected AI models or algorithms used together to accomplish a specific task. For instance, in natural language processing, an AI chain could involve a sequence of models for tasks like text preprocessing, sentiment analysis, and text generation.

Getting Started

First, before we start, we need to decide on a programming language to use. Here, you can choose whatever you like. But for the sake of this post, I’ll be using Python. I recommend following along, but you may decide to use whatever you like. Most of the core concepts are the same for every language.

Python & TensorFlow

Python is a high-level programming language that lets you work more efficiently and effectively with AI and much more. If you are following along with the post, you will need to have Python installed.

Download link: https://www.python.org/downloads/

After having Python installed on your machine, we can proceed to installing TensorFlow. TensorFlow is an open-source library for creating and deploying machine learning models in various environments. If you are following along with the post, you will need to have TensorFlow installed.

Install link: https://www.tensorflow.org/install

Hugging Face

Hugging Face is an open-source data science and machine learning platform. It serves as a hub for AI experts and enthusiasts, providing essential infrastructure for deploying, running, and training ML models. We are going to use Hugging Face to connect to all different types of AIs.

Link to sign up: https://huggingface.co/

After signing up, we can get our access token from: Settings -> Access Tokens

Access Token

Transformers

🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch.

Installation

You need a deep learning library like:
Install Transformers

pip install transformers

If you are having issues, here is the link to the Hugging Face installation: https://huggingface.co/docs/transformers/installation

After setting up all of the necessary programs and libraries, we can get into programming.

Using AI

To get us started, let’s see if everything is working:

from transformers import pipeline

transcriber = pipeline(task="automatic-speech-recognition")
transcriber("https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac")
{'text': 'I HAVE A DREAM THAT ONE DAY THIS NATION WILL RISE UP LIVE UP TO THE TRUE MEANING OF ITS CREED'}
print(transcriber)

Run this code and see if the transformers library is working as it should. If it is, you are all set up to embark on your AI journey. Have fun and never stop programming!

Sources

Steps from: https://huggingface.co/docs/transformers/index