license:mit region:us
---
license: mit
---
# 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:

```bash
pip install transformers
```

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

```python
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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