Instructions to use hurtmongoose/tinyllama-lora-malicious-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hurtmongoose/tinyllama-lora-malicious-classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("TinyLlama/TinyLlama_v1.1") model = PeftModel.from_pretrained(base_model, "hurtmongoose/tinyllama-lora-malicious-classifier") - Transformers
How to use hurtmongoose/tinyllama-lora-malicious-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hurtmongoose/tinyllama-lora-malicious-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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TinyLLaMA v1.1 LoRA fine-tuned for 3-class malicious prompt detection
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