Text Classification
Transformers
Safetensors
English
deberta-v2
llm
genai
promptinjection
prompt-injection
injection
security
text-embeddings-inference
Instructions to use vibraniumdome/deberta-v3-base-optimus-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vibraniumdome/deberta-v3-base-optimus-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vibraniumdome/deberta-v3-base-optimus-v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vibraniumdome/deberta-v3-base-optimus-v0") model = AutoModelForSequenceClassification.from_pretrained("vibraniumdome/deberta-v3-base-optimus-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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