Instructions to use devaprobs/hate-speech-detection-using-amharic-language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devaprobs/hate-speech-detection-using-amharic-language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devaprobs/hate-speech-detection-using-amharic-language")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devaprobs/hate-speech-detection-using-amharic-language") model = AutoModelForSequenceClassification.from_pretrained("devaprobs/hate-speech-detection-using-amharic-language") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef035d22b6020be576027d17f5aa8384ef0e7e7ccf8cb055564f4aa609aea86a
- Size of remote file:
- 711 MB
- SHA256:
- 3c73d5ecd179100ccfdb20c68625e58866d53f320590ca848be4005b6df55575
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