hugging-face-workshop
aws-lambda-docker-serverless-inference
| hugging-face-workshop | aws-lambda-docker-serverless-inference | |
|---|---|---|
| 1 | 1 | |
| 26 | 92 | |
| - | - | |
| 0.0 | 4.0 | |
| about 2 years ago | 22 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT No Attribution |
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hugging-face-workshop
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NLP@AWS Newsletter 04/2022
Hugging Face on Amazon SageMaker and AWS Workshop Interested to use NLP to generate models in the style of your favourite poets? This workshop shows you how you can fine tune text generation models in the style of your favourite poets using Hugging Face on Amazon SageMaker.
aws-lambda-docker-serverless-inference
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AWS - NLP newsletter - 2021. Aug.
GitHub: Train a BlazingText text classification algorithm in SageMaker, inference with AWS Lambda
What are some alternatives?
fraud-detection-using-machine-learning - Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
SagemakerHuggingfaceDashboard - This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
keytotext - Keywords to Sentences
PulmoLens - aws-powered deep-learning pneumonia detection model deployed as a serverless rest-api 🤖🫁
jetson-containers - Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
sagemaker-feature-store-real-time-recommendations - Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.
multi-label-sentiment-classifier - How to build a multi-label sentiment classifiers with Tez and PyTorch
python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository
amazon-transcribe-output-word-document - An Amazon Transcribe demo to produce a Microsoft Word document containing the turn-by-turn transcription of the audio. This will include additional metadata depending upon the options selected, such as caller sentiment, category identification and issue detection