ValueError: too many values to unpack (expected 2)

########################################################

/usr/local/lib/python3.10/dist-packages/transformers/models/roberta/modeling_roberta.py in forward(self, input_ids, attention_mask, token_type_ids, position_ids, head_mask, inputs_embeds, encoder_hidden_states, encoder_attention_mask, past_key_values, use_cache, output_attentions, output_hidden_states, return_dict)

787 raise ValueError("You have to specify either input_ids or inputs_embeds")

788

--> 789 batch_size, seq_length = input_shape

790 device = input_ids.device if input_ids is not None else inputs_embeds.device

791

ValueError: too many values to unpack (expected 2)

python 复制代码
There are a few possible ways to fix the problem, depending on the desired input format and output shape. Here are some suggestions:

- If the input_ids are supposed to be a single sequence of tokens, then they should have a shape of (batch_size, seq_length), where batch_size is 1 for a single example. In this case, the input_ids should be squeezed or flattened before passing to the model, e.g.:

input_ids = input_ids.squeeze(0) # remove the first dimension if it is 1
# or
input_ids = input_ids.view(-1) # flatten the tensor to a single dimension

- If the input_ids are supposed to be a pair of sequences of tokens, then they should have a shape of (batch_size, 2, seq_length), where batch_size is 1 for a single example and 2 indicates the two sequences. In this case, the input_ids should be split into two tensors along the second dimension and passed as separate arguments to the model, e.g.:

input_ids_1, input_ids_2 = input_ids.split(2, dim=1) # split the tensor into two along the second dimension
input_ids_1 = input_ids_1.squeeze(1) # remove the second dimension if it is 1
input_ids_2 = input_ids_2.squeeze(1) # remove the second dimension if it is 1
# pass the two tensors as separate arguments to the model
output = model(input_ids_1, input_ids_2, ...)

- If the input_ids are supposed to be a batch of sequences of tokens, then they should have a shape of (batch_size, seq_length), where batch_size is the number of examples in the batch. In this case, the input_ids should be passed directly to the model without any modification, e.g.:

output = model(input_ids, ...)
相关推荐
哪 吒2 分钟前
2025B卷 - 华为OD机试七日集训第5期 - 按算法分类,由易到难,循序渐进,玩转OD(Python/JS/C/C++)
python·算法·华为od·华为od机试·2025b卷
摸爬滚打李上进1 小时前
重生学AI第十六集:线性层nn.Linear
人工智能·pytorch·python·神经网络·机器学习
凛铄linshuo2 小时前
爬虫简单实操2——以贴吧为例爬取“某吧”前10页的网页代码
爬虫·python·学习
牛客企业服务2 小时前
2025年AI面试推荐榜单,数字化招聘转型优选
人工智能·python·算法·面试·职场和发展·金融·求职招聘
胡斌附体3 小时前
linux测试端口是否可被外部访问
linux·运维·服务器·python·测试·端口测试·临时服务器
likeGhee3 小时前
python缓存装饰器实现方案
开发语言·python·缓存
项目題供诗3 小时前
黑马python(二十五)
开发语言·python
读书点滴3 小时前
笨方法学python -练习14
java·前端·python
笑衬人心。4 小时前
Ubuntu 22.04 修改默认 Python 版本为 Python3 笔记
笔记·python·ubuntu
蛋仔聊测试4 小时前
Playwright 中 Page 对象的常用方法详解
python