aws-lambda-docker-serverless-inference VS hugging-face-workshop

Compare aws-lambda-docker-serverless-inference vs hugging-face-workshop and see what are their differences.

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aws-lambda-docker-serverless-inference hugging-face-workshop
1 1
92 26
- -
4.0 0.0
18 days ago about 2 years ago
Jupyter Notebook Jupyter Notebook
MIT No Attribution Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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aws-lambda-docker-serverless-inference

Posts with mentions or reviews of aws-lambda-docker-serverless-inference. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-27.

hugging-face-workshop

Posts with mentions or reviews of hugging-face-workshop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-04.
  • NLP@AWS Newsletter 04/2022
    2 projects | dev.to | 4 Apr 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.

What are some alternatives?

When comparing aws-lambda-docker-serverless-inference and hugging-face-workshop you can also consider the following projects:

amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

fraud-detection-using-machine-learning - Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

keytotext - Keywords to Sentences

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.

jetson-containers - Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

PulmoLens - aws-powered deep-learning pneumonia detection model deployed as a serverless rest-api 🤖🫁

multi-label-sentiment-classifier - How to build a multi-label sentiment classifiers with Tez and PyTorch

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.

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