| license: apache-2.0 | |
| # Agentic Transformer System for Hugging Face | |
| This repository contains the code, configurations, and scripts to create a modular AI system with multiple specialized agents for text classification, sentiment analysis, summarization, code generation, and more. | |
| ## Project Overview | |
| This system uses a mixture of specialized agents to handle diverse tasks. Each agent is fine-tuned for its specific role and is managed by an orchestration layer that ensures smooth communication and data flow between agents. | |
| ## Models and Datasets | |
| ### Pre-trained Models | |
| - **Text Classification Agent:** BERT Base Uncased ([Hugging Face Model](https://huggingface.co/bert-base-uncased)) | |
| - **Sentiment Analysis Agent:** RoBERTa ([Hugging Face Model](https://huggingface.co/roberta-base)) | |
| - **Summarization Agent:** BART ([Hugging Face Model](https://huggingface.co/facebook/bart-large)) | |
| - **Code Generation Agent:** CodeBERT ([Hugging Face Model](https://huggingface.co/microsoft/codebert-base)) | |
| - **Web Search Agent:** DistilBERT ([Hugging Face Model](https://huggingface.co/distilbert-base-uncased)) | |
| ### Datasets | |
| - **Training and Validation Dataset:** IMDB Movie Reviews ([Hugging Face Dataset](https://huggingface.co/datasets/imdb)) | |
| - **Evaluation Dataset:** SST-2 ([Hugging Face Dataset](https://huggingface.co/datasets/glue/viewer/sst2)) | |
| ## Installation | |
| To install the required dependencies, run: | |
| ```bash | |
| pip install -r requirements.txt | |