Model Type | Language model, Cross-lingual |
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Use Cases |
Areas: | Research, Language Processing |
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Primary Use Cases: | Question answering, Language translation, Reading comprehension |
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Additional Notes | PersianMind achieves state-of-the-art results and is part of NLP advancements in Persian-English cross-lingual tasks. |
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Supported Languages | fa (proficient), en (proficient) |
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Training Details |
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Hardware Used: | |
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Input Output |
Input Format: | Structured text input with context and prompt. |
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Performance Tips: | Using the model on GPUs enhances performance. Quantized models can run on devices with lower resources. |
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