然后进到这里这个from_pretrained方法,这里的代码逻辑还是是有顺序的: @classmethoddeffrom_pretrained(cls, pretrained_model_name, state_dict=None, cache_dir=None, *inputs, **kwargs):"""Instantiate a PreTrainedBertModel from a pre-trained model file or a pytorch state dict. Download and cache the...
class BertMLM(nn.Module): def __init__(self, bert_path): super(BertMLM, self).__init__() # 加载config.json文件中的超参数 config = tfs.AutoConfig.from_pretrained(bert_path) self.embedding = BertEmbeddings(config) self.encoder = BertEncoder(config) self.cls = BertOnlyMLMHead(config) ...
Here we will direct the pre-trained model directly from the server. More details about the pretrained model can be found in PaddleClas documentation below. Source: https://github.com/PaddlePaddle/PaddleClas/blob/release/2.2/deploy/lite/readme_en.md In [ ] import os.path import urllib.request...
pretrained=False, optimizer=SGD, verbose=True, seed=0, deterministic=True, single_cls=True, image_weights=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, ...
from_pretrained( model_args.model_name_or_path, num_classes=num_classes) class criterion(nn.Layer): def __init__(self): super(criterion, self).__init__() self.loss_fn = nn.CrossEntropyLoss( ignore_index=data_args.ignore_label) def forward(self, *args, **...
第一种是常规方法的one-hot-encoding的方法，常见的比如tf-idf生成的0-1的稀疏矩阵来代表原文本：如何...
PPOCRLabel StyleText benchmark configs cls cls_mv3.yml det e2e kie rec table deploy doc notebook ppocr ppstructure test_tipc tools .clang_format.hook .gitignore .pre-commit-config.yaml .style.yapf LICENSE MANIFEST.in README.md README_ch.md ...
19 19 class SegmentationTrainer(v8.detect.DetectionTrainer): 20 20 21 - def __init__(self, config=DEFAULT_CFG, overrides=None): 21 + def __init__(self, cfg=DEFAULT_CFG, overrides=None): 22 22 if overrides is None: 23 23 overrides = {} 24 24 overrides["task"] = "segm...
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