How to use uer/roberta-base-chinese-extractive-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="uer/roberta-base-chinese-extractive-qa")
# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("uer/roberta-base-chinese-extractive-qa") model = AutoModelForQuestionAnswering.from_pretrained("uer/roberta-base-chinese-extractive-qa")
有没有详细的demo
打印的结果就是context中的内容。不加print显示的是两个进度条
不是context中的内容，而是这个模型认为你这个问题的答案就是：我叫张三，今年20岁。。。。，你可以换一个复杂的context和question，试一下。
支持最大的长度是多少 512？
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