Rabbi2024/machinelearning

Model Card for [Model Name]

Model Details

• —Model Type: [Model type, e.g., "Text Classification", "Image Classification"]
• —Framework: [Hugging Face Transformers, TensorFlow, PyTorch, etc.]
• —License: [License type, e.g., "MIT", "Apache 2.0"]
• —Languages: [Languages supported by the model]
• —Task: [The task the model is designed for, e.g., "Spam Detection"]

Model Description

[Provide a brief description of the model, its purpose, and its training data.]

Intended Use

[Describe the intended use of the model. Include any potential risks or ethical considerations.]

How to Use

Installation

[Instructions for installing the necessary packages to use the model.]

Example Code

from transformers import [ModelClassName]  # Import your model class

# Load the model
model = [ModelClassName].from_pretrained("[Your Hugging Face Model ID]")

# Example usage
inputs = ["Your input text here"]
outputs = model(inputs)
print(outputs)