Text Classification
Transformers
Safetensors
English
deberta-v2
prompt-injection
safety
guardrails
nspl
Eval Results (legacy)
text-embeddings-inference
Instructions to use astoreyai/nspl-deberta-injection-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use astoreyai/nspl-deberta-injection-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="astoreyai/nspl-deberta-injection-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("astoreyai/nspl-deberta-injection-v1") model = AutoModelForSequenceClassification.from_pretrained("astoreyai/nspl-deberta-injection-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!