Instructions to use sleeepeer/DataSentinel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sleeepeer/DataSentinel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "sleeepeer/DataSentinel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d43e298dc59659e3b834288764b2dc189e1a17a0d596d02962f5f29f83a3307
- Size of remote file:
- 1.06 kB
- SHA256:
- cd1a60295248dfe1aa7406d87611d52c66f3d8cd2a7f9d012a920e5f749dc67b
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