python from transformers import AutoModelForSequenceClassification, AutoTokenizer, Trainer, TrainingArguments import adapters

model_name = "xlm-roberta-base" model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=3) tokenizer = AutoTokenizer.from_pretrained(model_name)

添加语言适配器或任务适配器

adapters.init(model) model.add_adapter("low_resource_lang", config="pfeiffer") model.train_adapter("low_resource_lang")

使用少量低资源标注数据进行训练...