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:
- a8f57fd98e9f86e85752e32c156d0abf15ca3e5a930e531a1379fd3a3bbd8b52
- Size of remote file:
- 171 MB
- SHA256:
- d09e27bfe92af082f26ca35e2a8a430e28f19e07d4e7ebdf61a9020abfea0730
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