🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

Minimalist NMT for educational purposes

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

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

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

Implementation of the paper Video Action Transformer Network

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

A little Python application to auto tag your photos with the power of machine learning.

A better PyTorch data loader capable of custom image operations and image subsets

Instructions for how to convert a BERT Tensorflow model to work with HuggingFace's pytorch-transformers, and spaCy. This walk-through uses DeepPavlov's RuBERT as example.

Utilizing webscraping and state-of-the-art NLP to generate TV show episode summaries.

Generative Pretrained Transformer 2 (GPT-2) for Language Modeling using the PyTorch-Transformers library.

Easily deploy a state-of-the-art language model from HuggingFace's Transformers

A little Python application to generate pictures from a text prompt. Based on Stable Diffusion.

Source code for "LIMIT-BERT : Linguistics Informed Multi-Task BERT" published at Findings of EMNLP 2020

Forecasting open-high-low-close (OHLC) data with Transformer models

Quora Questions Pair detection with Semantic Similarity

When Paint meets Artificial Intelligence! A Python application to generate pictures based on your drawing.

A little Pokédex application that can find a Pokémon in any image with the power of machine learning.