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:
- a356d1a92e64ebc400bcfe97e64cc0bd94201e99e72759c1087a4d371fd12781
- Size of remote file:
- 865 MB
- SHA256:
- b1b023e63d3d49663187565c66d202c779dadf2af865d332643bd4a963125534
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