Published inTDS ArchiveText Generation with GPTHow to fine-tune a GPT model to generate a TED description-like textJan 29, 2024A response icon2Jan 29, 2024A response icon2
Published inTDS ArchiveEfficient Model Fine-Tuning with Bottleneck AdapterHow to fine-tune Transformer-based models with bottleneck adaptersNov 22, 2023A response icon1Nov 22, 2023A response icon1
Published inTDS ArchiveText Classification with Transformer EncodersStep-by-step explanation of utilizing Transformer encoders to classify textAug 11, 2023A response icon2Aug 11, 2023A response icon2
Published inTDS ArchiveImage Classification with Vision TransformerHow to classify images with the help of Transformer-based modelApr 13, 2023A response icon1Apr 13, 2023A response icon1
Published inTDS ArchiveSemantic Textual Similarity with BERTHow to use BERT to calculate the semantic similarity between two textsFeb 15, 2023A response icon1Feb 15, 2023A response icon1
Published inTDS ArchiveInterpreting the Prediction of BERT Model for Text ClassificationHow to Use Integrated Gradients to Interpret BERT Model’s PredictionDec 20, 2022A response icon5Dec 20, 2022A response icon5
Published inTDS ArchiveData and Machine Learning Model Versioning with DVCDVC: It’s a Git, but for Our Data and ML ModelSep 20, 2022Sep 20, 2022
Published inTDS ArchiveNamed Entity Recognition with BERT in PyTorchHow to leverage a pre-trained BERT model for custom data to predict the entity of each word in a textMay 3, 2022A response icon8May 3, 2022A response icon8
Published inTDS ArchiveAnalyzing Document Layout with LayoutParserHow to use LayoutParser library to detect the layout and extract texts from document imagesJan 11, 2022A response icon6Jan 11, 2022A response icon6
Published inTDS ArchiveHyperparameter Tuning of Neural Networks with Optuna and PyTorchHow to find that perfect neural networks model for our use case with the help of OptunaDec 14, 2021A response icon3Dec 14, 2021A response icon3
