---
language:
  - vi
  - en
tags:
  - sentence-transformers
  - text-embeddings
  - taxi-pricing
  - vietnamese
license: apache-2.0
datasets:
  - custom-taxi-data
model-index:
  - name: ETO-TAXI Pricing Model
    results: [ ]
---

# ETO520 Pricing Model

## Model Description

Model is trained on [ETO-TAXI Pricing Model and Route Dataset](https://github.com/tkvclub01/eto-api)

## Developed by

**Công Ty CP DV VT My Sơn**  
Author: THÀNH TÂN  
Email: thanhtancto@icloud.com  
Website: https://675.vn

## Intended Uses & Limitations

This model is intended for:

- Extracting location information from Vietnamese text
- Calculating similarity between locations
- Pricing estimation for taxi services

## How to Use

python
`from sentence_transformers import SentenceTransformer
Load the model
model = SentenceTransformer("icoquangninh/eto-taxi-model")
Generate embeddings
embeddings = model.encode(["Nhà hàng ABC", "Khách sạn XYZ"])
Calculate similarity
from sklearn.metrics.pairwise import cosine_similarity similarity = cosine_similarity([embeddings[0]], [embeddings[1]])`

## Training Data

The model was trained on Vietnamese taxi booking data to understand location names and pricing contexts.

## Evaluation Results

The model achieves good performance on Vietnamese text understanding tasks related to taxi services.

## Intended Uses & Limitations

This model is intended for:

- Extracting location information from Vietnamese text
- Calculating similarity between locations
- Pricing estimation for taxi services

Limitations:

- Model is specifically trained for Vietnamese language
- Performance may vary for locations outside Vietnam
- Pricing estimations are based on historical data patterns

## Training Data

The model was trained on Vietnamese taxi booking data to understand location names and pricing contexts. The training data includes:

- Vietnamese location names and addresses
- Taxi route information
- Pricing data for various distances

## Evaluation Results

The model achieves good performance on Vietnamese text understanding tasks related to taxi services with high accuracy in location name recognition and similarity calculation.

## Applications

This model can be used for:

1. Location-based search in taxi booking applications
2. Route optimization and pricing calculation
3. Similar location recommendation
4. Customer service automation for taxi companies