Instructions to use dada22231/2acfa2de-95fb-4378-9c6f-e2d8c8f2997b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/2acfa2de-95fb-4378-9c6f-e2d8c8f2997b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.2") model = PeftModel.from_pretrained(base_model, "dada22231/2acfa2de-95fb-4378-9c6f-e2d8c8f2997b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 646ed657eb6e5196743cb562d826cc50a9ae6f23e16ab8b08f942facf2ca2e28
- Size of remote file:
- 15 kB
- SHA256:
- 1797ad99d541589653caf1b41a96735b78a9e42f0d1a328a23b7e9653ae41970
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