Instructions to use hope04302/hate-speech-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hope04302/hate-speech-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hope04302/hate-speech-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hope04302/hate-speech-detection") model = AutoModelForSequenceClassification.from_pretrained("hope04302/hate-speech-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:67ef0d0c4d938318390e6987a0b44e1ea38b7584a024a0174e35056917bfd391
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size 394671068
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