Huggingface 保存标记器

我正在尝试将标记生成器保存在 Huggingface 中，以便稍后可以从不需要访问互联网的容器中加载它。

BASE_MODEL = "distilbert-base-multilingual-cased"
tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL)
tokenizer.save_vocabulary("./models/tokenizer/")
tokenizer2 = AutoTokenizer.from_pretrained("./models/tokenizer/")

然而，最后一行给出了错误：

OSError: Can't load config for './models/tokenizer3/'. Make sure that:

- './models/tokenizer3/' is a correct model identifier listed on 'https://huggingface.co/models'

- or './models/tokenizer3/' is the correct path to a directory containing a config.json file

变形金刚版本：3.1.0

如何从 Pytorch 中的预训练模型加载保存的分词器 https://stackoverflow.com/questions/58417374/how-to-load-the-saved-tokenizer-from-pretrained-model-in-pytorch不幸的是没有帮助。

Edit 1

感谢@ashwin 下面的回答，我尝试过save_pretrained相反，我收到以下错误：

OSError: Can't load config for './models/tokenizer/'. Make sure that:

- './models/tokenizer/' is a correct model identifier listed on 'https://huggingface.co/models'

- or './models/tokenizer/' is the correct path to a directory containing a config.json file

the contents of the tokenizer folder is below:

我尝试重命名tokenizer_config.json to config.json然后我得到了错误：

ValueError: Unrecognized model in ./models/tokenizer/. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: retribert, t5, mobilebert, distilbert, albert, camembert, xlm-roberta, pegasus, marian, mbart, bart, reformer, longformer, roberta, flaubert, bert, openai-gpt, gpt2, transfo-xl, xlnet, xlm, ctrl, electra, encoder-decoder

save_vocabulary()，仅保存分词器的词汇文件（BPE 分词列表）。

要保存整个分词器，您应该使用save_pretrained()

因此，如下：

BASE_MODEL = "distilbert-base-multilingual-cased"
tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL)
tokenizer.save_pretrained("./models/tokenizer/")
tokenizer2 = DistilBertTokenizer.from_pretrained("./models/tokenizer/")

Edit:

由于某种未知的原因： 代替

tokenizer2 = AutoTokenizer.from_pretrained("./models/tokenizer/")

using

tokenizer2 = DistilBertTokenizer.from_pretrained("./models/tokenizer/")

works.