| model_name: "english-to-telugu-translation" | |
| tags: | |
| - translation | |
| - machine-translation | |
| - english | |
| - telugu | |
| library_name: "transformers" | |
| license: "MIT" | |
| language: | |
| - en | |
| - te | |
| metrics: | |
| - "BLEU" | |
| - "ROUGE" | |
| - "METEOR" | |
| model_description: | | |
| This model is trained for English-to-Telugu translation using a Transformer-based architecture. | |
| It is fine-tuned on a large parallel dataset of English and Telugu sentences. | |
| source: "Trained on the English-Telugu Parallel Corpus dataset." | |
| citation: | | |
| If you use this model, please cite: | |
| "English-to-Telugu Translation Model, created by Y. Himavarshini, 2025" | |
| model_creators: | |
| - "Y. Himavarshini" | |
| - "Gates Institute of Technology" | |
| task_categories: | |
| - "Machine Translation" | |
| task_ids: | |
| - "translation" | |
| pretty_name: "English-to-Telugu Translation Model" | |
| model_config: | |
| architecture: "Transformer" | |
| num_layers: 6 | |
| hidden_size: 512 | |
| vocab_size: 32000 | |
| datasets: | |
| - "hima06varshini/english-telugu-parallel-corpus" | |
| inference_example: | |
| - input: "Hello, how are you?" | |
| output: "హలో, మీరు ఎలా ఉన్నారు?" |