Dedicated Endpoints

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README

License: other

Training Details

  • Base model: Qwen/Qwen2-0.5B-Instruct
  • Dataset: rjac/e-commerce-customer-support-qa
  • Training column: conversation
  • Method: LoRA / PEFT
  • Platform: Hugging Face AutoTrain
  • Examples: 1,000
  • Epochs: 1
  • Max sequence length: 1024
  • Runtime: about 4 minutes on Nvidia T4

Intended Use

  • customer-support response drafting
  • e-commerce support workflow automation
  • SME AI adoption prototype
  • lightweight domain adaptation experiment

Example Use Case

A small e-commerce business could use a lightweight adapted model to draft first-pass support replies, help triage customer issues, and support customer-service workflows without relying only on closed frontier models.

Example Prompt

text
Customer: I ordered a phone case last week and the tracking page still says pending. Can you help?


Agent:

Model provider

shubhbali

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Base

Qwen/Qwen2-0.5B-Instruct

Adapter

this model

Modalities

Input

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Output

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Pricing

Dedicated Endpoints

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Supported Functionality

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Dedicated Endpoints

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