Instructions to use llm-semantic-router/mmbert32k-pii-detector-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llm-semantic-router/mmbert32k-pii-detector-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("llm-semantic-router/mmbert-32k-yarn") model = PeftModel.from_pretrained(base_model, "llm-semantic-router/mmbert32k-pii-detector-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48fc9e91d70605b73cf6d85f8e91b444a495293ff70b6d22127e2bd46ff4ba7f
- Size of remote file:
- 27.2 MB
- SHA256:
- 79a33469f0b041a18888d8c2af77a03bce4e4f691c0f12ae20c4b2a9247fc6b9
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