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README.md
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dataset:
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- PetraAI/PetraAI
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- emotion
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- bigcode/the-stack-v2
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- microsoft/orca-math-word-problems-200k
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- HuggingFaceTB/cosmopedia
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- fka/awesome-chatgpt-prompts
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language:
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- ar
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- en
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task_categories:
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- text-classification
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- finance
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- legal
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- music
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- code
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- art
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- climate
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- medical
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- text-classification
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- emotion
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- endpoints-template
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pretty_name: Zalmati
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library_name: Zalmati
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---
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# Zalmati
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## Overview
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Zalmati is a powerful multilingual language model trained on the massive and diverse PetraAI dataset. It can handle a wide range of natural language processing tasks including text classification, emotion analysis, question answering, translation, summarization, text generation and more across multiple domains like chemistry, biology, finance, legal, and medicine. With its support for Arabic and English, Zalmati provides cutting-edge AI capabilities to users in the Arabic-speaking world.
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dataset:
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- PetraAI/PetraAI
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- emotion
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| 6 |
+
- bigcode/the-stack-v2
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- microsoft/orca-math-word-problems-200k
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| 8 |
- HuggingFaceTB/cosmopedia
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| 9 |
- fka/awesome-chatgpt-prompts
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| 10 |
language:
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| 11 |
+
- ar
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| 12 |
- en
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| 13 |
task_categories:
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| 14 |
- text-classification
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|
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- finance
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| 39 |
- legal
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| 40 |
- music
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| 41 |
+
- code
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- art
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| 43 |
- climate
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| 44 |
- medical
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| 45 |
- text-classification
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| 46 |
- emotion
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| 47 |
+
- endpoints-template
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pretty_name: Zalmati
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library_name: Zalmati
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datasets:
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- microsoft/orca-math-word-problems-200k
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- Cohere/wikipedia-2023-11-embed-multilingual-v3
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- HuggingFaceTB/cosmopedia
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+
- fka/awesome-chatgpt-prompts
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- bigcode/the-stack-v2
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---
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## Overview
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Zalmati is a powerful multilingual language model trained on the massive and diverse PetraAI dataset. It can handle a wide range of natural language processing tasks including text classification, emotion analysis, question answering, translation, summarization, text generation and more across multiple domains like chemistry, biology, finance, legal, and medicine. With its support for Arabic and English, Zalmati provides cutting-edge AI capabilities to users in the Arabic-speaking world.
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