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:
- edb91dcda035311a223d8ec53ab2e2a6482a5d24ccc514ed809039c6c8524883
- Size of remote file:
- 4.03 kB
- SHA256:
- 3ff26a0a6c97981850e57ec6ed1bcdd0390f97c29ec9ed2839b7021a3c42fa5f
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