AWS Machine Learning Blog

JUNE 12, 2023

It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. You can also learn and run sample codes for BERT, GPT-2, and GPT-J on the Amazon SageMaker Examples public repository.

Deep Learning 75

Deep Learning Auto-classification Computer Vision Machine Learning 75

DataRobot Blog

FEBRUARY 2, 2023

Hugging Face model hub is a platform offering a collection of pre-trained models that can be easily downloaded and used for a wide range of natural language processing tasks. Then you can use the model to perform tasks such as text generation, classification, and translation. pip install transformers==4.25.1 datarobot==3.0.2

BERT 52

BERT Large Language Models Natural Language Processing Machine Learning 52

Explosion

JANUARY 31, 2021

Read more Benchmarks Download trained pipelines New trained pipelines spaCy v3.0 de_dep_news_trf German bert-base-german-cased 99.0 95.8 - es_dep_news_trf Spanish bert-base-spanish-wwm-cased 98.2 94.4 - zh_core_web_trf Chinese bert-base-chinese 92.5 Download pipelines New training workflow and config system spaCy v3.0

NLP 52

NLP Python BERT Auto-classification 52

Google Research AI blog

FEBRUARY 28, 2023

Dataset Description Auto-Arborist A multiview urban tree classification dataset that consists of ~2.6M Bazel GitHub Metrics A dataset with GitHub download counts of release artifacts from selected bazelbuild repositories. See some of the datasets and tools we released in 2022 listed below.

Robotics 72

Robotics Deep Learning Auto-classification ML 72

AWS Machine Learning Blog

JANUARY 9, 2023

For example, an image classification use case may use three different models to perform the task. The scatter-gather pattern allows you to combine results from inferences run on three different models and pick the most probable classification model. These endpoints are fully managed and support auto scaling.

ML 84

ML Auto-complete Auto-classification Deep Learning 84

AWS Machine Learning Blog

AUGUST 8, 2023

Instead of downloading all the models to the endpoint instance, SageMaker dynamically loads and caches the models as they are invoked. If the model has not been loaded, it downloads the model artifact from Amazon Simple Storage Service (Amazon S3) to that instance’s Amazon Elastic Block Storage volume (Amazon EBS).

BERT 88

BERT Deep Learning Auto-classification Python 88

AWS Machine Learning Blog

NOVEMBER 1, 2023

The system is further refined with DistilBERT , optimizing our dialogue-guided multi-class classification process. Additionally, you benefit from advanced features like auto scaling of inference endpoints, enhanced security, and built-in model monitoring. To mitigate the effects of the mistakes, the diversity of demonstrations matter.

Auto-classification 109

Auto-classification LLM Auto-complete Generative AI 109