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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff1e83431f132a48c0fecbb2ce50df42d91f2eb37c72e1d05c0640b51bab26bc
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size 1771521468
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