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:
- 652f29638931aebea6e0b64a1121b44f444bc98feb74219c53437cfa3c84f25b
- Size of remote file:
- 6.89 MB
- SHA256:
- 9f30f810efa06479fcfc29a51e6c3981fea98405fd6926951547ecca09949358
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