Posts, articles, and discussions

Introducing new audio and vision documentation in 🤗 Datasets

By July 28, 2022

Putting ethical principles at the core of research lifecycle

By May 19, 2022

Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers

By February 1, 2022

Boost Wav2Vec2 with n-gram LM in 🤗 Transformers

By January 12, 2022

Perceiver IO: a scalable, fully-attentional model that works on any modality

By December 15, 2021

Fine-tuning XLS-R for Multi-Lingual ASR with 🤗 Transformers

By November 15, 2021

Fine-Tune Wav2Vec2 for English ASR with 🤗 Transformers

By March 12, 2021

Community Events

Sep 27, 2022 Hugging Face Inference Endpoints | 🤗 Announcement and demo Transformers in production: SOLVED ✅ Sep 20, 2022 How Synapse Medicine leverages Hugging Face to improve medication safety Learn how Synapse Medicine leverages Hugging Face to improve medication safety! Sep 13, 2022 Hugging Face AI Hardware Summit Workshop Learn from Hugging Face experts how to use Graphcore IPUs, Habana Gaudi AI Hardware Accelerators with Optimum! Jun 15 to Jul 15, 2022 fastai X Hugging Face Group 2022 Share Vision and Text pre-trained fastai Learners with the community. Jun 22, 2022 Twitter Space with ONNX RunTime Join our live discussion with the ONNX RunTime team about accelerating Transformers with Optimum! Jun 22, 2022 Data2vec Reading Group Join us to talk about data2vec, a model that works across different modalities - text, audio, and images. Jun 15, 2022 Hugging Face VIP Party at the AI Summit London Come meet Hugging Face at the Skylight Bar on the roof of Tobacco Dock during AI Summit London! 6pm-9pm Jun 10, 2022 Masader Hackathon A sprint to add 125 Arabic NLP datasets to Masader, https://arbml.github.io/masader/, 5pm-7pm Saudi Arabia time. June 9, 2022 Introduction to Hugging Face Ecosystem at PyData Paris An extensive introduction to the open-source ecosystem in Hugging Face. June 8, 2022 Computer Vision with Hugging Face In this session, Niels Rogge walks us through the tools and architectures used to train computer vision models using Hugging Face.