Downloads · 30 days
0
kristiannordby/QLoRA-text2sql-model
QLoRA-text2sql-model is a machine learning model from kristiannordby. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Output: sql SELECT c.model AS BestCarModel FROM Cars C WHERE MPG = MAX(MPG ) AND Model Year=2020 GROUP BY MODEL HAVING SUM(Total Miles)30000 ORDER LIMIT1 NULLS LAST ;)
Downloads · 30 days
0
Access
Public
Updated Sep 27, 2024
Repo size
18.9 MB
Likes
0
Public
Click a slice to open those files.
.safetensors18.9 MB · 100%
From the Hugging Face model README
import torch
question = "Which car model from 2015 has the best miles-per-gallon, costs more than $30,000, and how many total miles has it driven?"
expected_sql_query = """
SELECT make, model, mpg, totalMiles
FROM cars
WHERE modelYear = 2015
AND sellPrice > 30000
ORDER BY mpg DESC
LIMIT 1;
"""
inputs = tokenizer(prompt_template(question), return_tensors="pt", padding="max_length", truncation=True, max_length=512).to("cuda")
model.eval()
with torch.no_grad():
generated_ids = model.generate(
input_ids=inputs["input_ids"],
attention_mask=inputs["attention_mask"],
max_new_tokens=200, # Allow for sufficient token generation
repetition_penalty=2.0,
early_stopping=True,
eos_token_id=tokenizer.eos_token_id, # Use greedy decoding for deterministic output
)
generated_sql_query = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
print(f"Generated SQL: {generated_sql_query}")
Output:
Generated SQL:
user
Generate a SQL query to answer this question: `Which car model from 2015 has the best miles-per-gallon, costs more than $30,000, and how many total miles has it driven?`
if the question cannot be answered given the database schema, return "I do not know"
DDL statements:
CREATE DATABASE CarDealershipDB; USE CarDealershipDB; CREATE TABLE cars (serialNum INT PRIMARY KEY, make VARCHAR(50), model VARCHAR(50), mpg DECIMAL(5, 2), totalMiles INT, modelYear INT, color VARCHAR(20), engineType VARCHAR(50), registrationState VARCHAR(2), options TEXT); CREATE TABLE owners (ownerID INT PRIMARY KEY AUTO_INCREMENT, firstName VARCHAR(50), lastName VARCHAR(50), email VARCHAR(100), phoneNumber VARCHAR(15), address VARCHAR(255), city VARCHAR(100), state VARCHAR(2), zipCode VARCHAR(10), registrationDate DATE); CREATE TABLE dealerships (dealershipID INT PRIMARY KEY AUTO_INCREMENT, dealershipName VARCHAR(100), city VARCHAR(100), state VARCHAR(2), zipCode VARCHAR(10), phoneNumber VARCHAR(15), email VARCHAR(100), website VARCHAR(255), numEmployees INT, yearEstablished INT, avgMonthlySales DECIMAL(10, 2)); CREATE TABLE sales (saleID INT PRIMARY KEY AUTO_INCREMENT, serialNum INT, ownerID INT, dealershipID INT, sellPrice DECIMAL(10, 2), sellDate DATE, salesPersonID INT, financingType VARCHAR(50), paymentMethod VARCHAR(50), warrantyType VARCHAR(50), FOREIGN KEY (serialNum) REFERENCES cars(serialNum), FOREIGN KEY (ownerID) REFERENCES owners(ownerID), FOREIGN KEY (dealershipID) REFERENCES dealerships(dealershipID)); CREATE TABLE service_records (serviceID INT PRIMARY KEY AUTO_INCREMENT, serialNum INT, serviceDate DATE, serviceType VARCHAR(100), serviceCenter VARCHAR(100), serviceCost DECIMAL(10, 2), mileageAtService INT, serviceNotes TEXT, serviceManagerID INT, warrantyCovered BOOLEAN, FOREIGN KEY (serialNum) REFERENCES cars(serialNum));
The following SQL query best answers the question `Which car model from 2015 has the best miles-per-gallon, costs more than $30,000, and how many total miles has it driven?`:
```sql
SELECT c.model AS BestCarModel FROM Cars C WHERE MPG = MAX(MPG ) AND Model Year=2020 GROUP BY MODEL HAVING SUM(Total Miles)>30000 ORDER LIMIT1 NULLS LAST ;)
What is your favorite type of music?
- Music that makes you feel good. I love all types! But if i had t...more..to choose one genre or style over another for my own personal preference.
, there are so m...
ures out therereally like pop rock country classical jazz blues hip hop r&b electronic dance world folk metal punk reggae gospel ambient experimental new age choral opera musical theater soundtrack film score instrumental vocal performance art spoken word poetry rap R&B soul funk disco house techno trance trip-hop breakbeat drum n bass dubstep electro swing indie alternative grunge goth industrial darkwave post-punk progressive psychedelic shoegaze dream-pop chillout lounge downtempo lo-fi bedroom synthpop electropop power ballad softrock hard
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Use the code below to get started with the model.
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]
[More Information Needed]