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| title: HuggingFace Ecosystem - NLP Playground | |
| emoji: 🚀 | |
| colorFrom: red | |
| colorTo: yellow | |
| sdk: docker | |
| app_port: 8501 | |
| tags: | |
| - nlp | |
| - transformers | |
| - streamlit | |
| - sentiment-analysis | |
| - text-summarization | |
| - question-answering | |
| - ner | |
| pinned: false | |
| short_description: Demonstrates various HF's Transformers NLP capabilities | |
| # 🤗 HuggingFace Ecosystem - NLP Playground | |
| A comprehensive web application showcasing various NLP capabilities powered by HuggingFace's Transformers library. This Streamlit-based dashboard provides an intuitive interface to explore state-of-the-art NLP models for different tasks. | |
| ## 🚀 Features | |
| - **Sentiment Analysis**: Analyze the sentiment of text (positive/negative) | |
| - **Text Summarization**: Generate concise summaries of longer texts | |
| - **Named Entity Recognition**: Identify entities like persons, organizations, and locations | |
| - **Question Answering**: Extract answers to questions from a given context | |
| - **Text Generation**: Create coherent text continuations from a prompt | |
| - **Semantic Search**: Find semantically similar texts using embeddings | |
| ## 🧠 Models Used | |
| | Task | Model | | |
| |------|-------| | |
| | Sentiment Analysis | `distilbert-base-uncased-finetuned-sst-2-english` | | |
| | Text Summarization | `facebook/bart-large-cnn` | | |
| | Named Entity Recognition | `dslim/bert-base-NER` | | |
| | Question Answering | `deepset/roberta-base-squad2` | | |
| | Text Generation | `gpt2` | | |
| | Semantic Search | `sentence-transformers/all-MiniLM-L6-v2` | | |