模型:
KES/TEC-English
该模型使用了T5-base预训练模型。它经过微调,用于将特立尼达英式克里奥尔语翻译成英语。随着更多数据的编制,该模型将定期更新。要了解加勒比英式克里奥尔语的更多信息,请查看库 Caribe 。
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KES/TEC-English") model = AutoModelForSeq2SeqLM.from_pretrained("KES/TEC-English") text = "Dem men doh kno wat dey doing wid d money" inputs = tokenizer("tec:"+text, truncation=True, return_tensors='pt') output = model.generate(inputs['input_ids'], num_beams=4, max_length=512, early_stopping=True) translation=tokenizer.batch_decode(output, skip_special_tokens=True) print("".join(translation)) #translation: These men do not know what they are doing with the money.