🤗 Transformers provides many of the latest state-of-the-art (SoTA) models across domains and tasks. To get the best performance from these models, they need to be optimized for inference speed and memory usage. The 🤗 Hugging Face ecosystem offers precisely such ready & easy to use optimization tools that can be applied across the board to all    

The Hugging Face Hub has landed on the AWS Marketplace. Starting today, you can subscribe to the Hugging Face Hub through AWS Marketplace to pay for your Hugging Face usage directly with your AWS account. This new integrated billing method makes it easy to manage payment for usage of all our managed services by all members of your organization, including Inference Endpoints, Spaces Hardware Upgrades, and AutoTrain to easily train, test and deploy the most popular machine learning models like […]

We are excited to release IDEFICS (Image-aware Decoder Enhanced à la Flamingo with Interleaved Cross-attentionS), an open-access visual language model. IDEFICS is based on Flamingo, a state-of-the-art visual language model initially developed by DeepMind, which has not been released publicly. Similarly to GPT-4, the model accepts arbitrary sequences of image and text inputs and produces text outputs. IDEFICS is built solely on publicly available data and models (LLaMA v1 and OpenCLIP) and comes in two variants—the base version and the […]

Today we are excited to announce SafeCoder – a code assistant solution built for the enterprise. The goal of SafeCoder is to unlock software development productivity for the enterprise, with a fully compliant and self-hosted pair programmer. In marketing    

Large language models have demonstrated remarkable capabilities in understanding and generating human-like text, revolutionizing applications across various domains. However, the demands they place on consumer hardware for training and deployment have become increasingly challenging to meet. 🤗 Hugging Face’s core mission is to democratize good machine learning, and this includes making large models as accessible as possible for everyone. In the same spirit as our bitsandbytes collaboration, we have just integrated the AutoGPTQ library in Transformers, making it possible for […]

Because we are committed to improving the security of our services, we are making changes to the way you authenticate when interacting with the Hugging Face Hub through Git. Starting from October 1st, 2023, we will no longer accept passwords as a way to authenticate your command-line Git operations. Instead, we recommend using more secure authentication methods, such as replacing the password with a personal access token or using an SSH key. Background In recent months, we have    

Code Llama is a family of state-of-the-art, open-access versions of Llama 2 specialized on code tasks, and we’re excited to release integration in the Hugging Face ecosystem! Code Llama has been released with the same permissive community license as Llama 2 and is available for commercial use. Today, we’re excited to release: Models on the Hub with their model cards and license Transformers integration Integration with Text Generation Inference for fast and efficient production-ready inference Integration with Inference Endpoints Integration […]

AudioLDM 2 was proposed in AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining by Haohe Liu et al. AudioLDM 2 takes a text prompt as input and predicts the corresponding audio. It can generate realistic sound effects, human speech and music. While the generated audios are of high quality, running inference    

This article is a cross-post from an originally published post on September 2023 on AWS’s website. Overview Consumer engagement and rewards company Fetch offers an application that lets users earn rewards on their purchases by scanning their receipts. The