fastai medical reinforcement-learning ar dataset:HuggingFaceFW/fineweb doi:10.57967/hf/2426 license:mit region:us
---
datasets:
- HuggingFaceFW/fineweb
language:
- ar
library_name: fastai
license: mit
pipeline_tag: reinforcement-learning
tags:
- medical
---

# Model Card for BrainSAIT Model

<!-- Provide a quick summary of what the model is/does. -->

This model card aims to provide detailed information about the BrainSAIT model. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

BrainSAIT is a reinforcement learning model developed for medical applications. It has been fine-tuned using the Arabic language dataset from HuggingFaceFW/fineweb. The model utilizes the fastai library for its implementation.

- **Developed by:** BrainSAIT Team
- **Funded by [optional]:** [Dr.Mohamed El Fadil]
- **Shared by [optional]:** [Dr.Mohamed El Fadil]
- **Model type:** Reinforcement Learning
- **Language(s) (NLP):** Arabic
- **License:** MIT
- **Finetuned from model [optional]:** [More Information Needed]

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

The BrainSAIT model can be used directly for tasks related to medical data analysis and decision-making support in the Arabic language.

### Downstream Use [optional]

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->

The model can be further fine-tuned for specific medical applications or integrated into larger medical decision support systems.

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->

The model is not suitable for non-medical applications or for tasks requiring expertise in languages other than Arabic.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

The model may have biases originating from the training data, which is specific to Arabic medical content. It may not perform well on non-Arabic data or non-medical contexts.

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users (both direct and downstream) should be aware of the risks, biases, and limitations of the model. Proper validation in the specific use case is recommended before deployment.

## How to Get Started with the Model

Use the code below to get started with the model.

```python
from fastai.text.all import *

# Load the model
learn = load_learner('path_to_your_model.pkl')

# Use the model for prediction
text = "Your input text here"
prediction = learn.predict(text)
print(prediction)
