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