Instructions to use riotu-lab/ArabianGPT-03B-SA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use riotu-lab/ArabianGPT-03B-SA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="riotu-lab/ArabianGPT-03B-SA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("riotu-lab/ArabianGPT-03B-SA") model = AutoModelForSequenceClassification.from_pretrained("riotu-lab/ArabianGPT-03B-SA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabianGPT Model Overview
Disclaimer for the Use of Large Language Models (LLMs) for Text Generation
We disclaim all responsibility for any harm, inaccuracies, or inappropriate content generated by ArabianGPT-0.3B, and users engage with and apply the model's outputs at their own risk.
What is ArabianGPT-0.3B Question-Answering?
You are invited to use ArabianGPT 0.3B Fine-Tuned Model for Sentiment Analysis task We suggest reviewing our playground examples to understand the model's capabilities and limitations.
Acknowledgments
Special thanks to Prince Sultan University, particularly the Robotics and Internet of Things Lab.
Contact Information
For inquiries: riotu@psu.edu.sa.
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