tokenizer = tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs) # ChatGLMTokenizer类再使用from_pretrained函数,利用path的配置文件初始化; 如果是gpt2等,会加载内部已经定义的GPT2Tokenizer类,并初始化;(详细不介绍了) 二、Tokenizer类内部的操作 后续将对此处进行更新; import...
As the error message in the title, the key _name_or_path is not always included in the huggingface model repo like OPT-30b or OPT-6.7b. When loading the tokenizer locally, it might need to check the key _name_or_path in the model config ...
python run_mlm.py \ --model_name_or_path xlm-roberta-base \ --train_file train_file \ --validation_file valid_file \ --do_train \ --do_eval \ --output_dir output_path \ --logging_dir log_path \ --logging_steps 100o \ --max_seq_length 512 \ --pad_to_max_length \ --le...
public static final LexicalTokenizerName NGRAM Tokenizes the input into n-grams of the given size(s). See http://lucene.apache.org/core/4\_10\_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenizer.html.PATH_HIERARCHY public static final LexicalTokenizerName PATH_HIERARCHY Tokenizer...
public static final LexicalTokenizerName NGRAM Tokenizes the input into n-grams of the given size(s). See http://lucene.apache.org/core/4\_10\_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenizer.html.PATH_HIERARCHY public static final LexicalTokenizerName PATH_HIERA...
check_and_add_vocab_file_path(config, **kwargs) File "/home/gaixcdata/models/mindformers-dev/scripts/mf_standalone/mindformers/models/build_tokenizer.py", line 43, in check_and_add_vocab_file_path vocab_file = dynamic_class.cache_vocab_files(name_or_path=support_name) ...
public KeywordTokenizer(String name) Constructor of KeywordTokenizer. Parameters: name - The name of the tokenizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. Method Details getMax...
the parsed MicrosoftStemmingTokenizerLanguage object, or null if unable to parse. toString() public String toString() Returns String Overrides java.lang.Enum.toString() valueOf(String name) public static MicrosoftStemmingTokenizerLanguage valueOf(String name) Parameters name String Returns...
模型和记号赋予器是两个不同的东西，但它们确实共享您下载它们的相同位置。您需要保存记号赋予器和模型。
将hugging face的权重下载到本地，然后我们之后称下载到本地的路径为llama_7b_localpath 【