Pankaj BERT Classifier

Model Description

This model is a fine-tuned BERT-based text classification model built using the Hugging Face Transformers library.

It is designed to classify text into predefined categories. The category names and dataset details are intentionally not disclosed.

Model Details

• Model Name: Pankaj BERT Classifier
• Architecture: BERT
• Base Model: bert-base-uncased
• Task: Text Classification
• Framework: Hugging Face Transformers
• Training: Fine-tuning on a custom labeled dataset

Intended Use

This model can be used for text classification tasks relevant to its training data.

Limitations

Predictions may be inaccurate on text that differs significantly from the training data. Evaluate the model on appropriate test data before using it in production.

Usage

Load the model using the Hugging Face Transformers library:

from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="YOUR_USERNAME/pankaj-bert-classifier"
)

result = classifier("Your input text here")
print(result)

Replace YOUR_USERNAME with your Hugging Face username.

Evaluation

Evaluation metrics have not been published in this model card.

Privacy

Specific class names and private dataset details are not disclosed.