Instructions to use Ashishkr/llama2-PII-Masking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ashishkr/llama2-PII-Masking with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Ashishkr/llama2-PII-Masking") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0742dfff945edd3d320242e8579d1b702c50bd386a09c9d7113dfe1e7076791
- Size of remote file:
- 33.6 MB
- SHA256:
- 1f405182549e4693626a7cc243f4f6a95c8705443f0428e07218bd9c7baa8c72
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