mul-sw-en-translation-phase2

275
license:apache-2.0
by
brendaogutu
Language Model
OTHER
New
275 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Usagepythontransformers
from transformers import MarianTokenizer, MarianMTModel

model_name = "brendaogutu/mul-sw-en-translation-phase2"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)

swahili_text = "Habari za asubuhi. Ninaitwa Amina na nina miaka 14."
inputs = tokenizer(swahili_text, return_tensors="pt", padding=True)
outputs = model.generate(**inputs, num_beams=5, max_length=256)
translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(translation)

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