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:
- cfd96d613f6727714bb322e7d01d4a87e049f97198e4c5c23b9eb7734873dadb
- Size of remote file:
- 1.47 kB
- SHA256:
- d5196560ee301fe5cd5bbbeec97032cf6e52c07b790108d8f2d8c7424747d799
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