pytorch-transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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

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.

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Label data using HuggingFace's transformers and automatically get a prediction service

State-of-the-art NLP through transformer models in a modular design and consistent APIs.