Instructions to use uhhlt/amharic-hate-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uhhlt/amharic-hate-speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uhhlt/amharic-hate-speech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uhhlt/amharic-hate-speech") model = AutoModelForSequenceClassification.from_pretrained("uhhlt/amharic-hate-speech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83891cb39153ce0021bf008490238430eaf27e2fcd2aec5751514128435c95f6
- Size of remote file:
- 1.77 GB
- SHA256:
- 9c295d18fc661a90d9f7bfcd7ce986a2fdbba96361362129be20ca23edd3c2f7
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