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A Gentle Introduction to 8-bit Matrix Multiplication for transformers at scale using transformers, accelerate and bitsandbytes.
Introducing Skops: official announcement and technical release details.
Hugging Face's TensorFlow Philosophy.
Deploying 🤗 ViT on Kubernetes with TF Serving.
We are introducing a new and improved content moderation tool. The Moderation endpoint improves upon our previous content filter, and is available for free today to OpenAI API developers.
Train and Fine-Tune Sentence Transformers Models.
Proximal Policy Optimization (PPO).
Introducing the Private Hub: A New Way to Build With Machine Learning.
Nyströmformer: Approximating self-attention in linear time and memory via the Nyström method.
Comments on U.S. National AI Research Resource Interim Report.
Efficient training of language models to fill in the middle.
Introducing new audio and vision documentation in 🤗 Datasets.
Faster Text Generation with TensorFlow and XLA.
A hazard analysis framework for code synthesis large language models.
Deploying TensorFlow Vision Models in Hugging Face with TF Serving.
We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation...
We are implementing a new technique so that DALL·E generates images of people that more accurately reflect the diversity of the world’s population.
How to train your model dynamically using adversarial data.
As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have...
The Technology Behind BLOOM Training.
Building a Playlist Generator with Sentence Transformers.
Introducing The World's Largest Open Multilingual Language Model: BLOOM.
Getting Started with Sentiment Analysis on Twitter.
Liftoff! How to get started with your first ML project 🚀.
In order to share the magic of DALL·E 2 with a broad audience, we needed to reduce the risks associated with powerful image generation models. To this end, we put various guardrails in place to...
Accelerate Large Model Training using DeepSpeed.
Announcing Evaluation on the Hub.
We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. ...
