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--- |
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license: apache-2.0 |
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language: |
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- en |
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- es |
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- fr |
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- de |
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metrics: |
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- accuracy |
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- bertscore |
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- r_squared |
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pipeline_tag: feature-extraction |
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library_name: keras |
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tags: |
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- upgrow |
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- upgrow-instagram |
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- instagram |
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- instagram-growth |
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--- |
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# UpGrow βΒ AI Growth Models on Hugging Face |
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### ![UpGrow Logo](https://www.upgrow.com/social/banner-wide.png) |
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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 π€ Transformes library. |
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## π About UpGrow |
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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. |
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## π» Our Models |
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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. |
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## π§° How to Use Our Models |
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Using our models with the Hugging Face π€ Transformers library is easy: |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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# Load the tokenizer |
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tokenizer = AutoTokenizer.from_pretrained("UpGrow/model-name") |
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# Load the model |
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model = AutoModel.from_pretrained("UpGrow/model-name") |
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# Use the model |
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inputs = tokenizer("Your input text here", return_tensors="pt") |
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outputs = model(**inputs) |
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``` |
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Replace "UpGrow/model-name" with the specific model you want to use. |
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## π Resources |
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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. |
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## π§ Contact Us |
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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. |