load(hf_hub_download(model_id, revision="main", filename="pytorch_model.bin")) huggingface_config_path = None config = model_class.from_pretrained(model_id, num_labels=num_classes) model = model_class.from_pretrained( pretrained_model_name_or_path=None, config=huggingface_config_path or co...
https://github.com/hspuppy/hugbert/blob/master/hf_model_downloader.pygithub.com/hspuppy/hugbert/blob/master/hf_model_downloader.py 命令行接口如下: usage: hf_model_downloader.py [-h] -s SHORT_NAME [-o OUTPUT_DIR] [-t TYPE] [-l] Huggingface model downloader optional arguments: -h,...
其中,model_type作为标识,from_pretrained方法通过这个model_type(pretrained_model_name_or_path)来加载对应的模型,这里定义为 "baichuan"。 keys_to_ignore_at_inference 表示在进行推理时可以忽略的一些键值。 这两个类内属性会覆盖相应的 PretrainedConfig 的 class 属性 PretrainedConfig有如下几个类内属性,可以由...
pretrained_model_name_or_path (:obj:`str` or :obj:`os.PathLike`, `optional`): Can be either: - A string, the `model id` of a pretrained model hosted inside a model repo on huggingface.co. Valid model ids can be located at the root-level, like ``bert-base-uncased``, or namesp...
self.model = BertModel.from_pretrained(pretrained_model_name_or_path, cache_dir=cache_dir) self.embedding_dim = self.model.config.hidden_size self.ebd_dim = self.model.config.hidden_size 开发者ID:YujiaBao,项目名称:Distributional-Signatures,代码行数:24,代码来源:cxtebd.py ...
@classmethoddeffrom_pretrained(cls,pretrained_model_name_or_path:Optional[Union[str,os.PathLike]],*model_args,**kwargs):...returnmodel 因此,能使用xx.from_pretrained进行初始化的原因就是,这里采用classmethod进行了修饰。 进到代码里在读一小段: ...
from .file_utils import cached_path, CONFIG_NAME, WEIGHTS_NAME from .modeling import BertLayerNorm as LayerNorm logger = logging.getLogger(__name__) PRETRAINED_MODEL_ARCHIVE_MAP = {"gpt2": "https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-pytorch_model.bin", "gpt2-medium"...
model = BertForSequenceClassification.from_pretrained( pretrained_model_name_or_path='bert-base-uncased', num_labels=2, output_attentions = False, output_hidden_states = False, attention_probs_dropout_prob=0.5, hidden_dropout_prob=0.5 ) python bert-language-model huggingface-transformers Share Im...
resolved_vocab_files, pretrained_model_name_or_path, init_configuration, *init_inputs, **kwargs File "/home/faith/miniconda3/envs/torch/lib/python3.7/site-packages/transformers/tokenization_utils_base.py", line 1725, in _from_pretrained ...
Enter a fully qualified path to the installation script file and include the instance name. Assuming the Downloads folder and a default instance, the command might look like this: PowerShell Copy PS C:\WINDOWS\system32> C:\Users\<user-name>\Downloads\Install-MLModels.ps1 MSSQLSERVER Outp...