tokenizer_mode: str = "auto" download_dir: Optional[str] = None use_np_weights: bool = False use_dummy_weights: bool = False @@ -42,6 +43,12 @@ def add_cli_args( help='name or path of the huggingface model to use') parser.add_argument('--tokenizer', type=str, default=Engine...
我们可以通过如下的方式将model,tokenizer,config文件上传到 model hub fromtransformersimportAutoModelForMaskedLM,AutoTokenizercheckpoint="camembert-base"model=AutoModelForMaskedLM.from_pretrained(checkpoint)tokenizer=AutoTokenizer.from_pretrained(checkpoint)model.push_to_hub("dummy-model")tokenizer.push_to_hub("...
tokenizer_mode: str = "auto", skip_tokenizer_init: bool = False, trust_remote_code: bool = False, tensor_parallel_size: int = 1, dtype: str = "auto", @@ -96,6 +100,7 @@ def __init__( model=model, tokenizer=tokenizer, tokenizer_mode=tokenizer_mode, skip_tokenizer_init=skip_to...
将代码中THUDM/chatglm-6b替换为本地下载好的chatglm-6b文件夹的路径即可。 # VisualGLM-6B-main/infer_sat.pyimportargparsefromtransformersimportAutoTokenizertokenizer=AutoTokenizer.from_pretrained("THUDM/chatglm-6b",trust_remote_code=True)frommodelimportchat,VisualGLMModelmodel,model_args=VisualGLMModel.f...
register_for_auto_class(auto_class = 'AutoTokenizer'):以指定的 auto class 来注册当前的 class。仅用于自定义的 tokenizer,因为库中的 tokenizer 已经映射到 AutoTokenizer。 参数:auto_class:一个字符串或 type,指定这个新的 tokenizer 注册到哪个 class。 save_pretrained():保存 full tokenizer state。 xxxxx...
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void tag_xml(istream& is, ostream& os, const tagger& tagger, tokenizer& tokenizer, const tagset_converter& tagset_converter, const derivation_formatter& derivation, morpho::guesser_mode guesser) { string para; vector<string_piece> forms; vector<tagged_lemma> tags; while (getpara(is, para))...
self.target_mode = True @property def bos_token_id(self) -> Optional[int]: return 0 class CPTTokenizer(BertTokenizer): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.target_mode = False def build_inputs_with_special_tokens( self, ...
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