Text Classification
Transformers
Safetensors
bert
prompt-injection
guardrail
jailbreak-detection
llm-security
ai-safety
voice-agents
code-mixed
hinglish
indic
india
text-embeddings-inference
Instructions to use speedsharma/dhvaniguard-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speedsharma/dhvaniguard-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="speedsharma/dhvaniguard-v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("speedsharma/dhvaniguard-v0") model = AutoModelForSequenceClassification.from_pretrained("speedsharma/dhvaniguard-v0") - Notebooks
- Google Colab
- Kaggle
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