README.md

metadata

language:
  - am
metrics:
  - accuracy
  - f1
library_name: transformers
pipeline_tag: text-classification
tags:
  - Sentiment-Analysis
  - Hate-Speech
  - Finetuning-mBERT

Hate-Speech-Detection-in-Amharic-Language-mBERT

This Hugging Face model card contains a machine learning model that uses fine-tuned mBERT to detect hate speech in Amharic language. The model was fine-tuned using the Hugging Face Trainer API.

Fine-Tuning

This model was created by finetuning the mBERT model for the downstream task of Hate speech detection for the Amharic language. The initial mBERT model used for finetuning is http://Davlan/bert-base-multilingual-cased-finetuned-amharic which was provided by Davlan on Huggingface.

Usage

You can use the model through the Hugging Face Transformers library, either by directly loading the model in your Python code or by using the Hugging Face model hub.