Step-by-step guide to building a resume skill extraction pipeline using Mistral-7B running on a DigitalOcean GPU Droplet. The tutorial covers setting up a GPU Droplet, installing vLLM to serve Mistral-7B as an OpenAI-compatible API, configuring DigitalOcean Spaces for PDF storage, and writing a Python script that downloads
Table of contents
IntroductionKey TakeawaysPrerequisitesStep 1 – Creating a DigitalOcean GPU DropletStep 2 – Installing Python and creating a virtual environmentStep 3 – Installing Project DependenciesStep 4 – Installing vLLM for GPU InferenceStep 5 – Starting the Mistral-7B Inference ServerStep 6 – Verifying the Inference EndpointStep 7 – Configuring DigitalOcean Spaces for Resume StorageStep 8 – Creating the Environment Configuration FileStep 9 – Writing the Resume Processing ScriptStep 10 – Running the Resume Extraction PipelineStep 11 – Viewing the Extracted Resume DataFAQConclusionFuture scopeResourcesSort: