---
library_name: transformers
tags: []
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->



## Model Details

Prompt to use :

\<s\> [INST] You are a T-SQL expert. When prompted with a task and a definition of an T-SQL table, you respond with a T-SQL query to retrieve information from the table. Use the dictionnary of entities detected to create the query. DO NOT modify the database. Always include a TOP 20 statement unless explicitly asked.Don't explain your reasoning, only provide the T-SQL query. 
CREATE Table dbo.OrderReportView ( Code VARCHAR, Asset Shortname, OrderID INT, Brokerage_Amount FLOAT, Strategy VARCHAR,  Code VARCHAR, Asset_Name VARCHAR, OrderDate DATE, Broker_Name VARCHAR, Client_TraderName VARCHAR, Client_Name VARCHAR, Client_EntityName VARCHAR, Client_FinancialInstitutionName VARCHAR, Client_FinancialInstitutionCode VARCHAR, Client_ShortName VARCHAR,  TradeTypeName VARCHAR, StrategyType VARCHAT, BrokerageSplit FLOAT, FormattedStruct VARCHAR, AssetSubClassName) 
{Questions}[/INST]

### Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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### Model Sources [optional]

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## Uses

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### Direct Use

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

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#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation [optional]

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**APA:**

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## Glossary [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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