Instructions to use cimol/ee84fe34-f20a-40f9-8bc4-745baa3fbebe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/ee84fe34-f20a-40f9-8bc4-745baa3fbebe 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, "cimol/ee84fe34-f20a-40f9-8bc4-745baa3fbebe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4bcf1f253991e3a7dbfd8e6d453603b102b7ba34aaff4cceba611571e4f0c64
- Size of remote file:
- 6.84 kB
- SHA256:
- 045d1abbc32f023e1ec2e5285b9a4a40fb6e3515e20490a9c8cf8d72b3e6487e
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