Text Classification
Transformers
ONNX
Safetensors
modernbert
prompt-extraction
prompt-injection
system-prompt-leak
role-play
character-ai
safety
Eval Results (legacy)
text-embeddings-inference
Instructions to use RubiiCorp/rubii-setting-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RubiiCorp/rubii-setting-guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RubiiCorp/rubii-setting-guard")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RubiiCorp/rubii-setting-guard") model = AutoModelForSequenceClassification.from_pretrained("RubiiCorp/rubii-setting-guard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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