Instructions to use kk-aivio/3c3b462b-b5cd-414d-8b1d-0d2157d56761 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/3c3b462b-b5cd-414d-8b1d-0d2157d56761 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-SOLAR-10.7B") model = PeftModel.from_pretrained(base_model, "kk-aivio/3c3b462b-b5cd-414d-8b1d-0d2157d56761") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c9f841fa31d6db2f1ed7ea0ffe7eece50dc5622bf9faac1720574425b4cb1ba
- Size of remote file:
- 6.78 kB
- SHA256:
- d3de55e860c2cb41bb98e683ceaa14fbb00548af11b69cda26434d57846c1610
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