RAHUL YASHWANTKUMAR GUPTA

ryg81
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THUDM/CogView4-6B:Why not small fp8 models
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šŸŒ GraphMind: Phi-3 Instruct Graph Explorer āœØ Extract and visualize knowledge graphs from any text in multiple languages! GraphMind is a powerful tool that leverages the capabilities of Phi-3 to transform unstructured text into structured knowledge graphs, helping you understand complex relationships within any content. https://huggingface.co/spaces/ginigen/Graph-Mind šŸš€ Key Features Multi-language Support šŸŒ: Process text in English, Korean, and many other languages Instant Visualization šŸ§©: See extracted entities and relationships in an interactive graph Entity Recognition šŸ·ļø: Automatically identifies and categorizes named entities Optimized Performance āš”: Uses caching to deliver faster results for common examples Intuitive Interface šŸ‘†: Simple design makes complex graph extraction accessible to everyone šŸ’” Use Cases Content Analysis: Extract key entities and relationships from articles or documents Research Assistance: Quickly visualize connections between concepts in research papers Educational Tool: Help students understand the structure of complex texts Multilingual Processing: Extract knowledge from content in various languages šŸ”§ How It Works Enter any text in the input field Select a model from the dropdown Click "Extract & Visualize" Explore the interactive knowledge graph and entity recognition results GraphMind bridges the gap between raw text and structured knowledge, making it easier to identify patterns, extract insights, and understand relationships within any content. Try it now and transform how you interact with textual information! #NLP #KnowledgeGraph #TextAnalysis #Visualization #Phi3 #MultilingualAI
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New activity in THUDM/CogView4-6B about 3 hours ago

Why not small fp8 models

#10 opened about 3 hours ago by
ryg81
reacted to ginipick's post with šŸ”„ 1 day ago
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šŸŒ GraphMind: Phi-3 Instruct Graph Explorer

āœØ Extract and visualize knowledge graphs from any text in multiple languages!

GraphMind is a powerful tool that leverages the capabilities of Phi-3 to transform unstructured text into structured knowledge graphs, helping you understand complex relationships within any content.

ginigen/Graph-Mind

šŸš€ Key Features

Multi-language Support šŸŒ: Process text in English, Korean, and many other languages
Instant Visualization šŸ§©: See extracted entities and relationships in an interactive graph
Entity Recognition šŸ·ļø: Automatically identifies and categorizes named entities
Optimized Performance āš”: Uses caching to deliver faster results for common examples
Intuitive Interface šŸ‘†: Simple design makes complex graph extraction accessible to everyone

šŸ’” Use Cases

Content Analysis: Extract key entities and relationships from articles or documents
Research Assistance: Quickly visualize connections between concepts in research papers
Educational Tool: Help students understand the structure of complex texts
Multilingual Processing: Extract knowledge from content in various languages

šŸ”§ How It Works

Enter any text in the input field
Select a model from the dropdown
Click "Extract & Visualize"
Explore the interactive knowledge graph and entity recognition results

GraphMind bridges the gap between raw text and structured knowledge, making it easier to identify patterns, extract insights, and understand relationships within any content. Try it now and transform how you interact with textual information!
#NLP #KnowledgeGraph #TextAnalysis #Visualization #Phi3 #MultilingualAI
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