ML 프로토타입 빠르게 배포하기 – Streamlit, Gradio
[분석지능개발팀 박효주] 데이터 과학자들은 다양한 실험을 통해 학습된 모델의 성능을 검증하고 배포합니다. 이 검증 과정은 Accuracy, Precision, Recall, IOU, PSNR 등 적절한 지표를 사용해서 수치로 검증하는데, 이 수치만 가지고는 실측…
$40M Series B of Hugging Face
It is news that Hugging Face, famous for its deep learning-based natural language processing open source, has attracted a $40M Series B investment. Hugging Face Transformer is perhaps one of the most popular open source projects in the field of natural language processing…
HuggingFace Datasets 1.0
The first stable version 1.0 of the Huggingface Datasets library has been released, making it easy to use NLP datasets and evaluation metrics. Currently, we support about 100 datasets and evaluation metrics (about 10) for each dataset.
NLP acceleration with HuggingFace and ONNX Runtime
The performance improvement shown by Transformer-based language models is surprising, but as the model size increases exponentially, concerns about service costs are also becoming important. Bert-base or GPT-2 has about 100 million parameters, so the model size, memory bandwidth,...
