Text Classification
Transformers
PyTorch
Amharic
bert
Sentiment-Analysis
Hate-Speech
Finetuning-mBERT
text-embeddings-inference
Instructions to use Abel-Mek/amharic_hate_speech_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abel-Mek/amharic_hate_speech_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Abel-Mek/amharic_hate_speech_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Abel-Mek/amharic_hate_speech_detection") model = AutoModelForSequenceClassification.from_pretrained("Abel-Mek/amharic_hate_speech_detection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 4 months ago
by
SFconvertbot