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:
- c8e8275addff3a64f516cf16664c017c316dd3e768405b070e8cf0cf6d2652b2
- Size of remote file:
- 14.6 kB
- SHA256:
- bd8a1fae6ea1a5c5532f916aa14b63af2bc5b4ff9a0279573bc637adae7a0904
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