Remove Linked Data Remove Python Remove Software Engineer
article thumbnail

Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning Blog

script to retrieve the JumpStart model artifacts and deploy the pre-trained model to your local machine: python train_model.py encode("utf-8") import requests r2=requests.post(url="[link] data=request_body, headers={"Content-Type":"application/x-text","Accept":"application/json;verbose"}) print(r2.text) Run the train_model.py

BERT 94
article thumbnail

An introduction to preparing your own dataset for LLM training

AWS Machine Learning Blog

The trafilatura library provides a command-line interface (CLI) and Python SDK for translating HTML documents in this fashion. The following code snippet demonstrates the librarys usage by extracting and preprocessing the HTML data from the Fine-tune Meta Llama 3.1 models using torchtune on Amazon SageMaker blog post.

LLM 92