Text Classification
Transformers
Safetensors
English
roberta
ai-governance
risk-classification
nlp
eu-ai-act
text-embeddings-inference
Instructions to use Begai/ai-risk-classifier-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Begai/ai-risk-classifier-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Begai/ai-risk-classifier-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Begai/ai-risk-classifier-roberta") model = AutoModelForSequenceClassification.from_pretrained("Begai/ai-risk-classifier-roberta") - Notebooks
- Google Colab
- Kaggle
Update README.md
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# AI Risk Classifier (RoBERTa)
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AI use case classifier that distinguishes between informational use, decision influence, automated decision-making, and potentially harmful AI practices.
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## Model Details
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# AI Risk Classifier (RoBERTa)
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AI use case classifier that distinguishes between informational use, decision influence, automated decision-making, and potentially harmful AI practices.
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This model was selected after experimenting with a DistilBERT baseline.
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## Model Details
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