Text Classification
Transformers
PyTorch
Amharic
bert
Amharic
hate speech
sentiment analysis
text-embeddings-inference
Instructions to use amengemeda/amharic-hate-speech-detection-mBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amengemeda/amharic-hate-speech-detection-mBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amengemeda/amharic-hate-speech-detection-mBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amengemeda/amharic-hate-speech-detection-mBERT") model = AutoModelForSequenceClassification.from_pretrained("amengemeda/amharic-hate-speech-detection-mBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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