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🚀 ClinicalBERT Model Usage

This project provides a way to use the ClinicalBERT model from the transformers package. It shows how to initialize the tokenizer and the model for sequence classification.

🚀 Quick Start

💻 Usage Examples

Basic Usage

# To use the model, add the following from the transformers package:
from transformers import AutoTokenizer, BertForSequenceClassification

# (1) ClinicalBERT tokenizer:
tokenizer = AutoTokenizer.from_pretrained("emilyalsentzer/Bio_ClinicalBERT")

# (2) Model type:
checkpoint_directory = "your_checkpoint_directory"  # Replace with the actual directory
model = BertForSequenceClassification.from_pretrained(checkpoint_directory, num_labels=3)

In the above code, you need to replace "your_checkpoint_directory" with the actual path to your checkpoint directory. This code demonstrates how to initialize the ClinicalBERT tokenizer and the sequence classification model.