Educational
How to Use ONNX Weights with Transformers.js

How to Use ONNX Weights with Transformers.js

In this guide, we will delve into how to make your models web-ready using ONNX weights in conjunction with Transformers.js. This process opens up an exciting new frontier for integrating advanced machine learning models directly into web applications. So let’s get...

Transformers.js: Using ONNX Weights for Multilingual NER

Transformers.js: Using ONNX Weights for Multilingual NER

In this article, we'll explore how to integrate ONNX weights with Transformers.js for multilingual named entity recognition (NER) using the bert-base-multilingual-cased-ner-hrl model. This setup is essential for making your models web-ready, especially as the ONNX...

GoogleBard

GoogleBard

An NPM module for creating GoogleBard chatbot using Bard's reverse-engineered API. With reverse-engineered API functionalities, it empowers developers to harness the full potential of Bard. Table Of Contents Features Prerequisites Installation Documentation Examples...

How to Use GGUF Quantized Models with Mistralai Mixtral

How to Use GGUF Quantized Models with Mistralai Mixtral

Welcome to our guide on working with GGUF quantized versions of the Mistralai Mixtral-8x7B-Instruct model. In this post, we will walk you through the process of utilizing these models effectively, as well as providing troubleshooting tips to ensure a smooth...

How to Use the Gemma Model from Google for Text Generation

How to Use the Gemma Model from Google for Text Generation

In the realm of artificial intelligence, understanding how to effectively use models like Gemma from Google is essential for anyone interested in text generation tasks, including but not limited to poetry writing, summarization, and question answering. This guide aims...