Instructions to use Rodo-Sami/18eac61e-1856-417a-89be-c9dc382b3c57 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodo-Sami/18eac61e-1856-417a-89be-c9dc382b3c57 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-llama-2-7b") model = PeftModel.from_pretrained(base_model, "Rodo-Sami/18eac61e-1856-417a-89be-c9dc382b3c57") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf9a127529d4adfe2738b50cd86fd61fc625eb8d92d041e109058b7398f9d654
- Size of remote file:
- 844 MB
- SHA256:
- a23c2faf050de80566ee094191658798b6bc90fbd26ce8cb3bec71dbebaa1c33
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