Huggingface 🤗visit website
The AI community building the future.
Hugginface is becoming the AI community for the future.
Build, train and deploy state of the art models powered by the reference open source in machine learning. Via Transformers 🤗 , it provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.
📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages.
🖼️ Images, for tasks like image classification, object detection, and segmentation.
🗣️ Audio, for tasks like speech recognition and audio classification.
Transformer models can also perform tasks on several modalities combined, such as table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering.
Why do we assess this technology?
Huggingface provides the most convenient way to fetch pretrained models - for Vision or NLP tasks. They integrate with Tensorflow/Pytorch/JAX - which is a huge time saver. Their documentation is comprehensive and easy to understand.
The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.