Instructions to use rnaveensrinivas/DataShield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rnaveensrinivas/DataShield with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.2-GPTQ") model = PeftModel.from_pretrained(base_model, "rnaveensrinivas/DataShield") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c531d52dc208a7772ced9cea6d11521040609b3958df59cffd6b490b6afe6fd
- Size of remote file:
- 4.86 kB
- SHA256:
- bf569aed0c0fed73ffa145213d673f5c277acb9aba3c1e80a98145797f0876c4
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