train_df=data_train,text_column="Cleaned",label_columns=col
,val_df=data_test,maxlen=500,preprocess_mode="distilbert") 下面是错误 OSError: Model name 'distilbert-base-uncased' was not found in tokenizers model name list (distilbert-base-uncased, <
under a tree and an apple hits my head.")但是,我得到以下错误:
No model was supplied, defaulted to distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-englishValueError: Could
我已经编写了一个定制的keras层,用于基于掩码从DistilBert平均输出。Input to reshape is a tensor with 967 values, but the requested shape has 12288 [[node pooled_distilBertInput Source op
load the pretrained model from huggingfacemodel = DistilBertForTokenClassification.from_pretrained('distilbert-base-uncasedTrainer, TrainingArguments
tra