How to Use HuggingChat: Your Complete Guide to the Open-Source AI Assistant

Are you tired of using the same old chatbots that don’t seem to understand you? Are you looking for a chatbot that can understand your natural language queries and provide helpful responses? If so, HuggingChat might be just what you need. In this article, we’ll take a closer look at HuggingChat, an open-source alternative to ChatGPT developed by Hugging Face. We’ll explore how to use HuggingChat, its capabilities, and what makes it different from other chatbots.


HuggingChat is an AI-powered chatbot developed by Hugging Face, an AI startup. Its goal is to provide an open-source alternative to ChatGPT and to create an AI assistant with a friendly, human-like personality. HuggingChat can generate text, including writing code, drafting emails, and composing rap lyrics. It’s available to test through a web interface and to integrate with existing apps and services via Hugging Face’s API.

See Also: How to Use Auto-GPT in Browser for Free: Your Guide to AI Assistance

Here are some key features of HuggingChat:

  • Open-source
  • Capable of generating text
  • Available through a web interface and API
  • Friendly, human-like personality

Now, let’s take a closer look at how to use HuggingChat.

How to Use HuggingChat

There are two ways to use HuggingChat: through the web interface and through the API.

Using the Web Interface

  1. First, go to the Hugging Face website and look for the link to the HuggingChat interface. You can do this by typing “Hugging Face” in your web browser and clicking on the first search result.
  2. Once you arrive at the HuggingChat page, you can test the chatbot for free in your browser or customize it to your needs. The interface is pretty straightforward and easy to use. You’ll see a text box where you can type your message and a “Send” button to submit your query.
  3. HuggingChat is a powerful chatbot that can handle many tasks like writing code, drafting emails, and composing rap lyrics. To get started, simply type your question or request in the text box and click “Send.” You should receive a response from the chatbot in a few seconds.
  4. Keep in mind that HuggingChat is an open-source chatbot and, like all text-generating models, can derail quickly depending on the questions it’s asked. So, be patient and try to ask clear and concise questions to get the best results.
  5. If you want to customize HuggingChat to your needs, you can use the “Settings” button on the interface to tweak the chatbot’s parameters. For example, you can adjust the “temperature” setting to control how creative the chatbot’s responses are or change the chatbot’s persona to make it sound more like a specific character or celebrity.
  6. Lastly, if you want to integrate HuggingChat with existing apps and services, you can use Hugging Face’s API. The API allows you to connect HuggingChat to your own platform and use it to generate text in real-time. You can find more information about the API on the Hugging Face website.

Using the API

Step 1: Sign up for a Hugging Face account and obtain an API key.

Step 2: Install the Hugging Face API client using pip. Open your terminal or command prompt and enter the following command:

pip install transformers

Step 3: This will install the transformers library, which is required to interact with HuggingChat using the API.

Use the following Python code to interact with HuggingChat:

from transformers import pipeline

Replace YOUR_API_KEY with your actual API key

huggingchat = pipeline(‘conversational’, model=’EleutherAI/gpt-neo-2.7B’, tokenizer=’EleutherAI/gpt-neo-2.7B’, device=0, use_auth_token=’YOUR_API_KEY’)

Start a conversation with HuggingChat

conversation = huggingchat(“Hello, how are you?”)

Print the response from HuggingChat


Step 4: In the above code, the pipeline() function from the ‘transformers‘ library is used to create a conversational pipeline for HuggingChat. The ‘model‘ and ‘tokenizer‘ parameters specify the model and tokenizer to use, and the ‘device‘ parameter specifies the GPU device to use (if available). The ‘use_auth_token‘ parameter is used to authenticate the API request using the API key obtained from the Hugging Face account.

The ‘pipeline()‘ function returns a callable object that can be used to start a conversation with HuggingChat. The input to the callable object is the message to send to HuggingChat, and the output is the response from HuggingChat.

Capabilities of HuggingChat

HuggingChat can handle many of the tasks that ChatGPT can. For example, it can write code, draft emails, and compose rap lyrics. However, like all text-generating models, HuggingChat can derail quickly depending on the questions it’s asked.

Hugging Face acknowledges this fact in the fine print and is working to improve the model’s performance. However, it’s important to keep in mind that HuggingChat is not a human, and it may not always provide accurate responses.

What Makes HuggingChat Different?

HuggingChat’s main differentiator is its open-source nature. It’s intended to be the first true open-source alternative to ChatGPT. This means that anyone can contribute to the development of HuggingChat and help make it better.

Another differentiator is HuggingChat’s friendly, human-like personality. The developers of HuggingChat have put a lot of effort into making the AI assistant approachable and easy to use.


If you’re looking for an AI assistant that can understand your natural language queries and provide helpful responses, HuggingChat might be just what you need. With its open-source nature, friendly personality, and powerful capabilities, HuggingChat is a great alternative to other chatbots on the market.

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