AI Speech Recognition in Unity
Introduction This tutorial guides you through the process of implementing state-of-the-art Speech Recognition in your Unity game using the Hugging Face Unity API. This feature can be used for giving commands, speaking
Read moreThe Falcon has landed in the Hugging Face ecosystem
Falcon is a new family of state-of-the-art language models created by the Technology Innovation Institute in Abu Dhabi, and released under the Apache 2.0 license. Notably, Falcon-40B is the first “truly open” model with capabilities rivaling many current closed-source models. This is fantastic news for practitioners, enthusiasts, and industry, as it opens the door for many exciting use cases. Note: Few months after this release, the Falcon team released a larger model of 180 billion parameters. September 2023 Update: Falcon […]
Read moreWelcome fastText to the Hugging Face Hub
fastText is a library for efficient learning of text representation and classification. Open-sourced by Meta AI in 2016, fastText integrates key ideas that have been influential in natural language processing and machine learning over the
Read moreDuckDB: run SQL queries on 50,000+ datasets on the Hugging Face Hub
The Hugging Face Hub is dedicated to providing open access to datasets for everyone and giving users the tools to explore and understand them. You can find many of the datasets used to train popular large language models (LLMs) like Falcon, Dolly, MPT, and StarCoder. There are tools for addressing fairness and bias in datasets like Disaggregators, and tools for previewing examples inside a dataset like the Dataset Viewer. A preview of the OpenAssistant dataset with the Dataset Viewer. We […]
Read moreCan foundation models label data like humans?
Since the advent of ChatGPT, we have seen unprecedented growth in the development of Large Language
Read moreHugging Face and AMD partner on accelerating state-of-the-art models for CPU and GPU platforms
Whether language models, large language models, or foundation models, transformers require significant computation for pre-training, fine-tuning, and inference. To help developers and organizations get the most performance bang for their infrastructure bucks, Hugging Face has long been working with hardware companies to leverage acceleration features present on their respective chips. Today, we’re happy to announce that AMD has officially
Read moreDeploy Livebook notebooks as apps to Hugging Face Spaces
The Elixir community has been making great strides towards Machine Learning and Hugging Face is playing an important role on making it possible. To showcase what you can already achieve with Elixir and Machine Learning today, we use Livebook to build a Whisper-based chat app and then deploy it to Hugging Face Spaces. All under 15 minutes, check
Read moreFaster Stable Diffusion with Core ML on iPhone, iPad, and Mac
WWDC’23 (Apple Worldwide Developers Conference) was held last week. A lot of the news focused on the Vision Pro announcement during the keynote, but there’s much more to it. Like every year, WWDC week is packed with more than 200 technical sessions that dive deep inside the upcoming features across Apple operating systems and frameworks. This year we are particularly excited about
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