Instructions to use ARISCOT/Digital_Literacy_Fact_Checker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ARISCOT/Digital_Literacy_Fact_Checker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ARISCOT/Digital_Literacy_Fact_Checker")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ARISCOT/Digital_Literacy_Fact_Checker", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - en | |
| - fr | |
| - tw | |
| - ha | |
| - es | |
| license: apache-2.0 | |
| tags: | |
| - fact-checking | |
| - social-media | |
| - politics | |
| - health | |
| - science | |
| datasets: | |
| - mteb/FEVER_test_top_250_only_w_correct-v2 | |
| - ucsbnlp/liar | |
| - NunoBatista/PHEME-Misinformation-Graphs | |
| - dwadden/healthver_entailment | |
| - rabuahmad/climatecheck | |
| - talab-ai/pi5-agricultural-iot-32day | |
| - RASSAISAID/finqa-deepseek-prompts | |
| metrics: | |
| - accuracy | |
| - recall | |
| - f1 | |
| - precision | |
| base_model: | |
| - FacebookAI/roberta-base | |
| - meta-llama/Llama-3.2-1B-Instruct | |
| new_version: deepseek-ai/DeepSeek-V4-Pro-Base | |
| pipeline_tag: text-classification | |
| library_name: transformers | |
| # Digital Literacy Fact Checker | |
| This model is designed to classify misinformation across social media, | |
| politics, health, science, religion, and agriculture. | |
| # NOTICE | |
| Digital Literacy & Fact-Checker AI (Ghana Edition) | |
| Copyright 2026 George Asomaning Peprah | |
| This project is licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. | |
| You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software | |
| distributed under the License is distributed on an "AS IS" BASIS, | |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| See the License for the specific language governing permissions and | |
| limitations under the License. | |
| --- | |
| ### ATTRIBUTION | |
| This model was developed by George Asomaning Peprah as part of a mission to | |
| improve digital literacy and combat misinformation in Ghana and West Africa. | |
| The model incorporates weights and/or data inspired by or derived from: | |
| - LIAR Dataset | |
| - FEVER Dataset | |
| - Misinformation-Guard | |
| - Custom Ghanaian Digital Literacy benchmarks | |
| Any redistribution of this model or derivative works MUST include this | |
| NOTICE file in its entirety. |