Instructions to use Rodo-Sami/85db3e7e-5f6d-4f47-9e12-5354a40e73d1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rodo-Sami/85db3e7e-5f6d-4f47-9e12-5354a40e73d1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "Rodo-Sami/85db3e7e-5f6d-4f47-9e12-5354a40e73d1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b2ba2d18da0a4f35ff81e969c3f76d35b0a2dd451233a6e70833fba20047715
- Size of remote file:
- 336 MB
- SHA256:
- 16cb250d7d09eb866b39f11b968a1972dde3ae56e94c90f8f85525b365ef50df
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