Metadata-Version: 2.1
Name: yInference
Version: 0.0.1.2
Summary: Inference your Fine tuned LLM
Author: Shuvam Mandal
Author-email: shuvammandal121@gmail.com
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: transformers
Requires-Dist: pandas
Requires-Dist: tensorflow

# YInference: Streamlining Model Inference 

**YInference** is a powerful Python package designed to streamline the model inference process, enabling users to thoroughly assess their trained or fine-tuned models before deploying them to the Hugging Face Hub or any other deployment environment. This versatile tool has been created to address the critical need for reliable model evaluation within your workflow, ultimately enhancing model performance and boosting deployment confidence.

## Table of Contents

- [Overview](#overview)
- [Features](#features)
- [Installation](#installation)
- [License](#license)

## Overview

In the fast-paced world of machine learning and natural language processing (NLP), ensuring the reliability and robustness of your models is of paramount importance. yInference is here to simplify and fortify your model evaluation and deployment workflows. Whether you're a seasoned data scientist or a newcomer to the field, YInference empowers you to:

- **Evaluate with Confidence**: yInference provides a user-friendly and intuitive interface for assessing the performance of your machine learning models. You can trust your model evaluations and make informed decisions about deployment.

- **Enhance Model Performance**: By leveraging yInference's capabilities, you can fine-tune your models more effectively. It offers a comprehensive set of evaluation metrics and insights to help you pinpoint areas for improvement.

- **Smooth Deployment Process**: Save time and reduce the risk of deploying underperforming models. yInference ensures that your models meet your quality standards before they go live.

## Features

### 1. Streamlined Inference

yInference simplifies the process of running inference on your models. With just a few lines of code, you can load your model and input data, making it easier than ever to assess its performance.

### 2. Comprehensive Evaluation Metrics

We understand that one-size-fits-all metrics don't always tell the whole story. yInference offers a wide range of evaluation metrics, allowing you to choose the ones that best align with your specific use case.

### 3. Easy Integration with Hugging Face Hub

For those utilizing the Hugging Face Hub for model sharing and deployment, yInference seamlessly integrates with the platform. You can test your models thoroughly before sharing them with the community or deploying them in production.

### 4. Interactive Visualization

Visualize your model's performance with easy-to-understand graphs and charts, helping you identify strengths and weaknesses quickly.

### 5. Extensible and Customizable

yInference is built to be extensible. You can easily integrate it into your existing workflows and customize it to meet your specific requirements.

## Installation

To get started with yInference, simply install it using pip:

```bash
pip install yInference
```

## License

YInference is distributed under the MIT License.
