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:
- 5ed1fa800b5aef1327a6b1d569af18f446d54f4596b131bcc40c2309217884c1
- Size of remote file:
- 5.05 kB
- SHA256:
- 4c023baf47d2188eaa87ff0d8225b466213cc354f5ea3fd0370a58f6d69a4f39
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