Text Classification
Transformers
ONNX
English
deberta-v2
ai-safety
prompt-injection-defender
jailbreak-defender
adversarial-input-detection
text-embeddings-inference
Instructions to use Yeger/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yeger/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yeger/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yeger/test") model = AutoModelForSequenceClassification.from_pretrained("Yeger/test") - Notebooks
- Google Colab
- Kaggle
add quantized
Browse files
onnx/model_quantized.onnx
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