Posts, articles, and discussions

Case Study: Millisecond Latency using Hugging Face Infinity and modern CPUs

By January 13, 2022

Boost Wav2Vec2 with n-gram LM in 🤗 Transformers

By January 12, 2022

Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker

By January 11, 2022

Active Learning with AutoNLP and Prodigy

By December 23, 2021

Gradio joins Hugging Face!

By December 21, 2021

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

By December 15, 2021

Training CodeParrot 🦜 from Scratch

By December 8, 2021

Introducing Snowball Fight ☃️, our First ML-Agents Environment

By December 2, 2021

Getting Started with Hugging Face Transformers for IPUs with Optimum

By November 30, 2021 guest

Introducing the Data Measurements Tool: an Interactive Tool for Looking at Datasets

By November 29, 2021

Accelerating PyTorch distributed fine-tuning with Intel technologies

By November 19, 2021

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

By November 15, 2021

Scaling up BERT-like model Inference on modern CPU - Part 2

By November 4th, 2021

Course Launch Community Event

By October 26, 2021

Large Language Models: A New Moore's Law?

By October 26, 2021

Train a Sentence Embedding Model with 1B Training Pairs

By October 25, 2021 guest

The Age of Machine Learning As Code Has Arrived

By October 20, 2021

Fine tuning CLIP with Remote Sensing (Satellite) images and captions

By October 13, 2021 guest

Hosting your Models and Datasets on Hugging Face Spaces using Streamlit

By October 5, 2021

Showcase Your Projects in Spaces using Gradio

By October 5, 2021

Summer at Hugging Face ☀️

By September 24, 2021

Hugging Face and Graphcore partner for IPU-optimized Transformers

By September 14, 2021 guest

Introducing Optimum: The Optimization Toolkit for Transformers at Scale

By September 14, 2021

Deep Learning over the Internet: Training Language Models Collaboratively

By July 15, 2021 guest

Welcome spaCy to the 🤗 Hub

By July 13, 2021

Deploy Hugging Face models easily with Amazon SageMaker

By July 8, 2021

Sentence Transformers in the 🤗 Hub

By June 28, 2021

Few-shot learning in practice: GPT-NEO and the 🤗 Accelerated Inference API

By June 3, 2021

Using & Mixing Hugging Face Models with Gradio 2.0

By May 25, 2021 guest

Scaling-up BERT Inference on CPU (Part 1)

By April 20, 2021

Introducing 🤗 Accelerate

By April 16, 2021

Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker

By April 8, 2021

How many data points is a prompt worth?

By April 5, 2021

Understanding BigBird's Block Sparse Attention

By March 31, 2021 guest

The Partnership: Amazon SageMaker and Hugging Face

By March 23, 2021

My Journey to a serverless transformers pipeline on Google Cloud

By March 18, 2021 guest

Fine-Tune Wav2Vec2 for English ASR with 🤗 Transformers

By March 12, 2021

Hugging Face Reads, Feb. 2021 - Long-range Transformers

By March 09, 2021

Simple considerations for simple people building fancy neural networks

By February 25, 2021

Retrieval Augmented Generation with Huggingface Transformers and Ray

By February 10, 2021 guest

Hugging Face on PyTorch / XLA TPUs

By February 9, 2021 guest

Faster TensorFlow models in Hugging Face Transformers

By January 26, 2021

Fit More and Train Faster With ZeRO via DeepSpeed and FairScale

By January 19, 2021

How we sped up transformer inference 100x for 🤗 API customers

By January 18, 2021

Leveraging Pre-trained Language Model Checkpoints for Encoder-Decoder Models

By November 09, 2020

Porting fairseq wmt19 translation system to transformers

By November 3, 2020

Hyperparameter Search with Transformers and Ray Tune

By November 2, 2020 guest

Transformer-based Encoder-Decoder Models

By October 10, 2020

Retrieval Augmented Generation (RAG)

By September 28, 2020

Block Sparse Matrices for Smaller and Faster Language Models

By Sep 10, 2020

The Reformer - Pushing the limits of language modeling

By July 3, 2020

Long Form Question Answering with ELI5

By June 17, 2020

How Big Should My Language Model Be?

By June 8, 2020

Zero Shot Topic Classification

By May 29, 2020

How to generate text: using different decoding methods for language generation with Transformers

How to train a new language model from scratch using Transformers and Tokenizers

By February-May, 2020

Community Events

Jan 7 & 8, 2022 Intro to Transfer Learning, end-to-end deployment with TFX, and demo with Streamlit Are you a TF user and would like to learn about Transformers and building cool demos? This is for you! Jan 4, 2022 ML for Audio Study Group - Text to Speech Deep Dive Vatsal and VB provide a high level overview of how TTS is solved and share more about the history of the domain. Dec 21, 2021 ML for Audio Study Group - Intro to Audio and ASR Deep Dive Watch a high level overview of audio data and its challenges and learn about transcribing audio files. Dec 18, 2021 GDG Cloud San Francisco DevFest - BigScience Learn about the BigScience project, a one year research workshop on large multilingual datasets and language models. Dec 17, 2021 Pretraining Language Models & CodeParrot Leandro and Merve explain how to pre-train language models and Code Parrot, a model that can write code. Dec 14, 2021 ML for Audio Study Group - Kick Off Intro to ML for Audio. Learn about Automatic Speech Recognition and Text to Speech. Dec 10, 2021 Question Answering workshop Course special session where Lewis and Merve will go through notebooks, course material and answer your questions. Dec 8, 2021 On Sentiments and Biases Join Merve & Vincent in this talk on Sentiments and Biases in Hugging Face models! Nov 30, 2021 Implementing DietNeRF with JAX and Flax. Learn about NeRF, JAX+Flax, 3D reconstruction, HF Spaces, and more! Nov 15, 2021 Course launch event! Talks from Thom Wolf, Margaret Mitchell, Jay Alammar, and many more! Nov 8, 2021 Open Source Office Hours In this 30 minutes session the team will share the latest updates from our open source tools and answer questions from the community. Nov 5, 2021 T0 Discussion with Victor Sanh Learn about the T0, a model for zero-show task generalization Oct 22, 2021 NLP with Transformers and the Hugging Face Ecosystem 🤗 In this workshop, learn the core concepts behind Transformers and how to train these models in the Hugging Face ecosystem.