name: bland-ai description: Use this skill when working with bland.ai. Triggers when user mentions bland.ai or imports from it.

Bland AI

What this is

Bland.ai is a library that provides a simple way to interact with AI models. It allows users to effortlessly integrate AI capabilities into their applications. The library offers a range of tools and features for building, training, and deploying AI models.

Installation

pip install bland_ai

Key concepts

The most important APIs in bland.ai include BlandModel, BlandDataset, and BlandTrainer. Here's an example:

from bland_ai import BlandModel

# Create a new BlandModel instance
model = BlandModel()

Correct usage patterns

To train a model using bland.ai, you can use the following code:

from bland_ai import BlandModel, BlandDataset, BlandTrainer

# Load a dataset
dataset = BlandDataset()

# Create a new BlandModel instance
model = BlandModel()

# Create a new BlandTrainer instance
trainer = BlandTrainer(model, dataset)

# Train the model
trainer.train()

Common mistakes to avoid

One common mistake when using bland.ai is forgetting to import the necessary modules. Another mistake is not properly initializing the BlandModel instance before using it.

File and folder conventions

The bland.ai library expects files to be organized in the following structure:

project/
|--- bland_ai/
|    |--- __init__.py
|    |--- model.py
|    |--- dataset.py
|    |--- trainer.py
|--- config.json
|--- main.py

Note: The config.json file is used to store configuration settings for the library.