Instructions to use trangannh/ptit-job-recommendation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use trangannh/ptit-job-recommendation with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("trangannh/ptit-job-recommendation", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Job Recommendation Model
This repository contains a job recommendation model based on skills and majors.
Usage
Installation
Clone the repository:
git clone https://huggingface.co/{username}/{repo_name}
cd {repo_name}
Run model
Change csv file path and run "RECOMMENDATION MODEL" part in Job_Recommendation_System.ipynb notebook
Test recommeded system
In TEST RECOMMENDED SYSTEM part of Job_Recommendation_System.ipynb notebook, change input_hard_skills, input_soft_skills, input_major and run code to receive result
API
To use this model, send a POST request to the inference API with the following JSON payload (change input_hard_skills, input_soft_skills, input_major for different results):
{
"input_hard_skills": "Business, Finance, Excel",
"input_soft_skills": "Communication, Teamwork",
"input_major": "Marketing"
}
result
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