ElarSaks/finnish-tech-salary-predictor
By ElarSaks · ↓ 0 · ♥ 0 · Updated 2025-12-12
What's in this repo
This page lists the files in ElarSaks/finnish-tech-salary-predictor, including salary_predictor_v1.0.0.onnx.
- 1 ONNX models (.onnx files)
- 4 files, including 1 .md, 1 .onnx, 1 .json
- Last updated 2025-12-12
ONNX files
| File | Size | Download |
|---|---|---|
| salary_predictor_v1.0.0.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Finnish Tech Salary Predictor
This model predicts salaries for tech professionals in Finland based on various features.
Model Details
- Model Type: Random Forest
- Version: v1.0.0
- Created: 2025-12-12T21:42:26.049907
- Format: ONNX
Features
The model uses the following input features:
- Experience years
- Office time percentage
- Age group
- Gender
- Company type
- Role group
- Education level
- Location (region)
Usage
import onnxruntime as ort
import numpy as np
# Load the model
session = ort.InferenceSession("salary_predictor_v1.0.0.onnx")
# Prepare input (example)
input_name = session.get_inputs()[0].name
input_data = np.array([[...]], dtype=np.float32) # Your feature vector
# Run inference
result = session.run(None, {input_name: input_data})
predicted_salary = result[0]
Data Source
Based on the Koodiklinikka Finnish Tech Salary Survey 2024.
License
MIT License
Model info
Created: 2025-12-11
Updated: 2025-12-12
View on Hugging FaceFiles (4)
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