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A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

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My implementation of the original transformer model (Vaswani et al.). I've additionally included the file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

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Automatically split your PyTorch models on multiple GPUs for training & inference

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Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.


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