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:
- 70691792d6d381cbba926dee78fb95b9b07417c8e13f2a10a551b2fdd0be67b5
- Size of remote file:
- 84 MB
- SHA256:
- 416f67d602f64c16ef17da3f0c1455190845e9fc61a6a5772e25cf6afb1e35ff
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