Instructions to use sca25msd036/Kanth-Resume-Personal-AI-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sca25msd036/Kanth-Resume-Personal-AI-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "sca25msd036/Kanth-Resume-Personal-AI-LoRA") - Notebooks
- Google Colab
- Kaggle
Kanth Resume Personal AI LoRA
A LoRA fine-tuned personal AI assistant based on Qwen2.5-1.5B-Instruct.
Base Model
Qwen/Qwen2.5-1.5B-Instruct
Fine-Tuning Method
LoRA using PEFT.
Training Data
The model was fine-tuned using automatically generated instruction examples derived from a personal resume.
Purpose
The model is designed to answer questions about the information contained in the resume.
Important Limitation
The model should be used together with resume-grounded retrieval for factual answers. The LoRA adapter alone should not be considered a guaranteed factual database.
Project
M.Sc. Data Science student model project.
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