hf-model-inference
CommunityDeploy HuggingFace models as APIs
AuthorZurybr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a streamlined process for deploying pre-trained HuggingFace models as accessible inference services, enabling quick integration of NLP capabilities into applications.
Core Features & Use Cases
- Model Deployment: Guides users through setting up Flask/FastAPI services for HuggingFace models.
- Inference Endpoints: Facilitates the creation of REST APIs for tasks like sentiment analysis and text classification.
- Use Case: You need to build a real-time sentiment analysis feature for user reviews. This skill helps you deploy a HuggingFace sentiment model as a service that your application can query.
Quick Start
Follow the steps in this skill to deploy a HuggingFace model as a Flask inference API.
Dependency Matrix
Required Modules
transformerstorchflaskfastapi
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: hf-model-inference Download link: https://github.com/Zurybr/lefarma-skills/archive/main.zip#hf-model-inference Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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