Update README.md

README.md

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 ---
 license: apache-2.0
+language:
+- en
+- es
+- fr
+- de
+metrics:
+- accuracy
+- bertscore
+- r_squared
+pipeline_tag: feature-extraction
+library_name: keras
+tags:
+- upgrow
+- upgrow-instagram
+- instagram
+- instagram-growth
 ---
+# UpGrow – Models on Hugging Face
+### ![UpGrow Logo](https://www.upgrow.com/social/banner-wide.png) 
+
+Welcome to the official Hugging Face repository for [UpGrow](https://www.upgrow.com), an AI-powered platform for **Instagram growth services**. This repository provides information about our machine learning models, including how to use them with the Hugging Face 🤗 Transformes library.
+
+## 🚀 About UpGrow
+
+UpGrow is a leading AI platform that provides innovative an [Instagram growth service](https://www.upgrow.com/instagram-growth-service). We leverage the power of artificial intelligence (AI) and machine learning algorithms for enhanced and accelerated Instagram growth. 
+
+## 💻 Our Models
+
+Here, you will find our cutting-edge machine learning models trained for various tasks, such as sentiment analysis, image recognition, and trend prediction to supercharge Instagram growth strategies.
+
+## 🧰 How to Use Our Models
+
+Using our models with the Hugging Face 🤗 Transformers library is easy:
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+# Load the tokenizer
+tokenizer = AutoTokenizer.from_pretrained("UpGrow/model-name")
+
+# Load the model
+model = AutoModel.from_pretrained("UpGrow/model-name")
+
+# Use the model
+inputs = tokenizer("Your input text here", return_tensors="pt")
+outputs = model(**inputs)
+```
+
+Replace "UpGrow/model-name" with the specific model you want to use.
+
+📚 Resources
+For more insights into our services, API, and how we leverage AI and machine learning for Instagram growth, visit our official website, API documentation, and blog.
+
+📧 Contact Us
+We're always ready to help if you have any questions or run into issues. Feel free to reach out to us through our contact page.