Instructions to use rajat/deidentify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rajat/deidentify with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/notebooks/172.190.243.232:8000/llama/models_hf/7B") model = PeftModel.from_pretrained(base_model, "rajat/deidentify") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba6532ae87794f9b2378f1882a6ffed13f62f0024eb7499cf3a5687dbd9ff802
- Size of remote file:
- 16.8 MB
- SHA256:
- dd0a3cefac33c454b0c1d444dd852cf2dadf85e47ceb51b2533e1496479ab254
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