| from transformers import pipeline | |
| # ──────────────────────────────────────────────────────────────── | |
| # 6. Translation (example: English → Hindi) | |
| # ──────────────────────────────────────────────────────────────── | |
| # No universal default → always specify model | |
| # | |
| # Popular choice: Helsinki-NLP/opus-mt-en-hi | |
| # → Used for: good quality general-domain English→Hindi translation | |
| # fast & reliable for everyday sentences | |
| # | |
| # Better alternative (2025+): facebook/mbart-large-50-many-to-many-mmt | |
| # → Used for: many-to-many (50 languages), better with low-resource pairs | |
| pipe = pipeline("translation_en_to_hi", model="Helsinki-NLP/opus-mt-en-hi") | |
| # pipe = pipeline("translation", model="facebook/mbart-large-50-many-to-many-mmt", src_lang="en_XX", tgt_lang="hi_IN") | |
| print(pipe("Hello from Ludhiana, the city of cycles!")[0]["translation_text"]) |