Instructions to use Falconsai/offensive_speech_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/offensive_speech_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falconsai/offensive_speech_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Falconsai/offensive_speech_detection") model = AutoModelForSequenceClassification.from_pretrained("Falconsai/offensive_speech_detection") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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pipeline_tag: text-classification
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language:
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- en
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---
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# Model Card: Fine-Tuned DistilBERT for Offensive/Hate Speech Detection
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pipeline_tag: text-classification
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language:
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- en
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widget:
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- text: "I think this is great."
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- text: "You are awful"
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---
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# Model Card: Fine-Tuned DistilBERT for Offensive/Hate Speech Detection
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