Educational
BERT Fine-tuned – Financial Sentiment Analysis Model

BERT Fine-tuned – Financial Sentiment Analysis Model

This model is a fine-tuned version of BERT (bert-base-uncased) aimed at classifying text into positive, neutral, and negative sentiments specifically for financial contexts. The fine-tuning was carried out using the Financial Phrase Bank dataset, making it incredibly...

How to Master the Art of Machine Learning with Enmetrics

How to Master the Art of Machine Learning with Enmetrics

In the rapidly evolving field of machine learning, understanding essential tools and metrics is vital for developing accurate models. Today, we delve into the exciting world of Enmetrics, a powerful framework designed to evaluate the performance of machine learning...

How to Use the MN-12B Starcannon v5 Quantized Models

How to Use the MN-12B Starcannon v5 Quantized Models

The MN-12B Starcannon v5 model offers a range of quantized versions, allowing developers and researchers to leverage its capabilities effectively. In this article, we’ll dive into the details of using these models, including how to access them and potential...