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:
- 39ac6964ee4c8c264b54c2d87ea55d62946d32dcab2b668f24fb5b5c769a6e78
- Size of remote file:
- 5.84 kB
- SHA256:
- 4b6323f0bb70ba150bdca571e6d9bcfe733747c42ab3b971ac46407416055da7
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