BioEmoDetector Biomedical Pre-trained Models

Overview

Welcome to the Hugging Face repository for BioEmo-Predictor Biomedical Pre-trained Language Models. This collection comprises meticulously trained models designed specifically for detecting emotions in clinical text data.

Models Included

• CODER
• BlueBERT
• SciBERT
• BioMed-RoBERTa
• Bio_ClinicalBERT
• Clinical_Longformer
• BioBERT

These models serve as foundational elements for emotion prediction in clinical text, offering a specialized understanding of medical language and context.

Usage

To use these models in your application, follow the steps below:

1. Install the transformers library:

pip install transformers

2. Use the following code to download the desired model:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

# Replace "model_name" with the specific model name you want to use (e.g., "Bashar-Alshouha/BioEmoDetector/biobert")
model_name = "Bashar-Alshouha/BioEmoDetector/biobert"
# Load the model and tokenizer
model = AutoModelForSequenceClassification.from_pretrained(model_name)
# Now, you can use the model for emotion prediction on clinical text data

Make sure to replace "Bashar-Alshouha/BioEmoDetector/biobert" with the specific model name you want to use.

Citation

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