Update README.md

README.md

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 Welcome to the official Hugging Face profile of Matellio India Pvt Ltd! We're excited to share our AI and NLP models with the community. 
 
-![Matellio India Pvt Ltd Logo](https://path-to-your-logo.png)
+![Matellio India Pvt Ltd Logo](https://d1krbhyfejrtpz.cloudfront.net/assets/images-new-landing/logo.svg)
 
 ## About Us
 
 Matellio India Pvt Ltd is a leading technology company that specializes in delivering innovative software solutions to clients around the world. With a strong focus on AI and NLP, we are committed to exploring new horizons in the field of Natural Language Processing.
 
 - **Website**: [https://www.matellio.com](https://www.matellio.com)
-- **Email**: [email protected]
 
-## Our Contributions
-
-Here are some of the contributions and projects we have worked on:
-
-### Project 1: Sentiment Analysis Model
-
-Description: A sentiment analysis model trained on a large dataset to accurately predict the sentiment of text inputs.
-
-- **Usage**: `transformers.SentimentAnalysisModel('matellio/sentiment-analysis')`
-- **Link**: [Sentiment Analysis Model](https://huggingface.co/matellio/sentiment-analysis)
-
-### Project 2: Named Entity Recognition (NER) Model
-
-Description: Our NER model is designed to identify and classify entities such as names, dates, and locations in text.
-
-- **Usage**: `transformers.NERModel('matellio/ner-model')`
-- **Link**: [NER Model](https://huggingface.co/matellio/ner-model)
-
-## How to Use
-
-You can easily integrate our models into your projects using the Hugging Face Transformers library. Here's a quick example of how to use our Sentiment Analysis Model:
-
-```python
-from transformers import SentimentAnalysisModel
-
-model = SentimentAnalysisModel.from_pretrained('matellio/sentiment-analysis')
-text = "I love using this product! It's amazing."
-sentiment = model.predict(text)
-print(sentiment)