Instructions to use Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "Paladiso/4f5d8e92-2054-4cc6-a1ab-4fb678041d64") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56d6a0d353b460fbb50ec2974fa70d8b8aaf50824936215816d2e61a705c6a66
- Size of remote file:
- 83.9 MB
- SHA256:
- a04b4d5b1068f093734a82f59c897eecd9af4cdd271fd673c0512405b207d3af
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