ImportError: cannot import name 'score' from partially initialized module 'bert_score' (most likely due to a circular import) (/root/bert_score.py) 是因为我把一个文件名命名为了bert_s…
│ > 30 from torchmetrics.functional.text.bert import bert_score # noqa: F401 │ │ 31 from torchmetrics.functional.text.infolm import infolm # noqa: F401 │ │ │ │ D:\stablediff\automatic\venv\lib\site-packages\torchmetrics\functional\text\bert.py:24 in │ ...
覆盖30个网络结构和100余个预训练模型参数,既包括百度自研的预训练模型如ERNIE系列, PLATO, SKEP等,也涵盖业界主流的中文预训练模型如BERT,GPT,XLNet,BART等。使用AutoModel可以下载不同网络结构的预训练模型。欢迎开发者加入贡献更多预训练模型!🤗 frompaddlenlp.transformersimport*ernie=AutoModel.from_pretrained('...
1 from transformers import pipeline Next, we need to initialize the pipeline for the Masked Language Modeling Task. 1 unmasker = pipeline(task='fill-mask', model='bert-base-uncased') In the above code block, pipeline accepts two arguments. task: Here, we need to provide the task that we...
import "mle-js-oracledb"; export async function huggingfaceDemo(apiToken) { if (apiToken === undefined) { throw Error("must provide an API token"); } const payload = { inputs: "The answer to the universe is [MASK]." }; const mo...
importtorchimporttorch.nnasnn# 编码器模块classEncoderRNN(nn.Module):def__init__(self,input_size,hidden_size):super(EncoderRNN,self).__init__()self.hidden_size=hidden_sizeself.rnn=nn.RNN(input_size,hidden_size,batch_first=True)defforward(self,x):# x: (batch_size, seq_len, input_size...
Pre-training on transformers can be done with self-supervised tasks, below are some of the popular tasks done on BERT: Masked Language Modeling (MLM): This task consists of masking a certain percentage of the tokens in the sentence, and the model is trained to predict those masked words. ...
FRAG returned this year and set up their high-score challenges. I didn’t sign up to compete for any scores this year but I did find myself going back a few times to play some games. Centipede returned So I did go back to that machine a few times on Saturday as it’s just a ...
want to deploy. Import the required libraries. The models shown in the catalog are listed from theHuggingFaceregistry. Create themodel_idusing the model name you copied from the model catalog and theHuggingFaceregistry. You deploy thebert_base_uncasedmodel with the latest version in this example....
bert first commit 5年前 .gitignore first commit 5年前 LICENSE Initial commit 5年前 README.md edit README.md 5年前 create_pretraining_data.py first commit 5年前 create_teacher_output_data.py first commit 5年前 requirements.txt first commit ...