| from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
| model_name="en2fa" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForSeq2SeqLM.from_pretrained(model_name) | |
| def translate(user_text): | |
| inputs = tokenizer.encode(user_text, return_tensors="pt") | |
| translated = model.generate(inputs) | |
| translated_text = tokenizer.decode(translated[0], skip_special_tokens=True) | |
| print(translated_text) | |
| return translated_text | |
| translate("I am calling from tax office.") | |