运行零镜头模型时，说明缺少记号赋予器时出错

Question

这个例子取自hugging face，但产生了一个模型加载错误。我想我已经下载了这个模型，但是你知道我如何才能避免这个错误吗？谢谢，威尔

from ktrain import text 
zsl = text.ZeroShotClassifier()
topic_strings=['politics', 'elections', 'sports', 'films', 'television']
doc = 'I am extremely dissatisfied with the President and will definitely vote in 2020.'
zsl.predict(doc, topic_strings=topic_strings, include_labels=True)

结果如下：

OSError:在标记化器模型名称列表(bart-large、bart-large-mnli、bart-large-cnn、bart-large-xsum)中找不到模型名称'facebook/bart-large-mnli‘。我们假设'facebook/bart-large-mnli‘是一个路径，一个模型标识符，或者指向包含名为'vocab.json'，'merges.txt’的词汇表文件的目录的url，但是在这个路径或url中找不到这样的词汇表文件。

Answer 1

derp I手头没有默认模型，因此我更改了第2行，以指向我可以正确加载的模型：

zsl = text.ZeroShotClassifier(model_name='bart-large-mnli')

Answer 2

您可能正在使用早于2.11的transformers版本。从2.11 transformers开始，必须使用完整的型号ID指定BART (和其他一些型号)，如transformers 2.11的更改日志所示：

URLs to model weights are not hardcoded anymore (@julien-c)
Archive maps were dictionaries linking pre-trained models to their S3 URLs. Since the arrival of the model hub, these have become obsolete.

⚠️ This PR is breaking for the following models: BART, Flaubert, bert-japanese, bert-base-finnish, bert-base-dutch. ⚠️
Those models now have to be instantiated with their full model id:

"cl-tohoku/bert-base-japanese"
"cl-tohoku/bert-base-japanese-whole-word-masking"
"cl-tohoku/bert-base-japanese-char"
"cl-tohoku/bert-base-japanese-char-whole-word-masking"
"TurkuNLP/bert-base-finnish-cased-v1"
"TurkuNLP/bert-base-finnish-uncased-v1"
"wietsedv/bert-base-dutch-cased"
"flaubert/flaubert_small_cased"
"flaubert/flaubert_base_uncased"
"flaubert/flaubert_base_cased"
"flaubert/flaubert_large_cased"

all variants of "facebook/bart"