❓ Questions & Help Details When I read the code of tokenizer, I have a problem if I want to use a pretrained model in NMT task, I need to add some tag tokens, such as '2English' or '2French'. I think these tokens are special tokens, so w...
gpt2model.to(device) input = gpt2tokenizer(input_sentence, return_tensors='pt').to(device) outputs = gpt2model(**input, labels=input['input_ids']) outputs.loss tensor(5.1567, device='cuda:3', grad_fn=) gpt2tokenizer.add_special_tokens({'additional_special_tokens': ['[first]', '[...
删掉added_tokens.json文件,重新加载。 # be able to use tokenizermodel="pretrained_bert/bert-large-uncased"tokenizer=BertTokenizer.from_pretrained(model,use_fast=True)model=BertForMaskedLM.from_pretrained(model) 参考于:https://github.com/huggingface/tokenizers/issues/615#issuecomment-821841375...
情况是： 我用 add_tokens()方法 添加自己的新词后，BertTokenizer.from_pretrained(model)一直处于加载中。原因： 有说是词典太大，耗时hours才加载出来（我也没有真的等到过）暂时的解决办法：参考于： https://github.com/huggingface/tokenizers/issues/615#issuecomment-821841375 ...
tokenChars (type: string array) - Character classes to keep in the tokens. Allowed values: letter,digit,whitespace,punctuation,symbol. Defaults to an empty array - keeps all characters. keyword_v2KeywordTokenizerV2Emits the entire input as a single token. ...
You can use Analyze API to see the tokens generated from a given text using a specific analyzer.Indexing with Microsoft analyzers is on average two to three times slower than their Lucene equivalents, depending on the language. Search performance shouldn't be significantly affected for average ...
These tokenizers handle unknown tokens by splitting them up in smaller subtokens. This allows for the text to be processed, but the special meaning of the token might be hard to capture for the model this way. Also splitting words up in many subtokens leads to longer sequences of tokens ...
Finnish, Hungarian, Slovak) and entity recognition (URLs, emails, dates, numbers). If possible, you should run comparisons of both the Microsoft and Lucene analyzers to decide which one is a better fit. You can useAnalyze APIto see the tokens generated from a given text using a specific an...
tokenChars (type: string array) - Character classes to keep in the tokens. Allowed values: letter,digit,whitespace,punctuation,symbol. Defaults to an empty array - keeps all characters. keyword_v2KeywordTokenizerV2Emits the entire input as a single token. ...
You can use Analyze API to see the tokens generated from a given text using a specific analyzer.Indexing with Microsoft analyzers is on average two to three times slower than their Lucene equivalents, depending on the language. Search performance shouldn't be significantly affected for average ...