Using the CData ODBC Driver for Hugging Face in PyCharm

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for Hugging Face from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Hugging Face as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

1. Click File -> Settings to open the project settings window.
2. Click Project Interpreter from the Project: YourProjectName menu.
3. To add pyodbc, click the + button and enter pyodbc.
4. Click Install Package to install pyodbc.

Connect to Hugging Face

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

HuggingFace Hub uses token-based authentication to enable access to its API. The API provides access to machine learning models, datasets, spaces, papers, and other resources on the HuggingFace Hub platform.

Using API Key Authentication

To authenticate to HuggingFace Hub, you will need to provide an API Key (Access Token). To obtain your access token:

1. Log in to your HuggingFace account at https://huggingface.co
2. Navigate to Settings > Access Tokens
3. Click "New token" to create a new access token
4. Select the appropriate permissions (read or write)
5. Copy the token value

After obtaining your access token, set the following connection properties:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your HuggingFace access token.

Example connection string

Profile=C:\profiles\HuggingFace.apip;ProfileSettings='APIKey=hf_xxxxxxxxxxxxxxxxxxxx';

Below is the syntax for a DSN:

[CData API Source]
Driver = CData ODBC Driver for Hugging Face
Description = My Description
Profile = C:\profiles\HuggingFace.apip
ProfileSettings = 'APIKey = hf_xxxxxxxxxxxxxxxxxxxx'

Execute SQL to Hugging Face

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc

cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for API};Profile = C:\profiles\HuggingFace.apip;ProfileSettings = 'APIKey = hf_xxxxxxxxxxxxxxxxxxxx';')
cursor = cnxn.cursor()
cursor.execute("SELECT , FROM Collections WHERE = ''")
rows = cursor.fetchall()
for row in rows:
 print(row., row.)

After connecting to Hugging Face in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Hugging Face data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].