Instructions to use cilorku/76eea394-b6c1-4596-b42d-685df856e8d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilorku/76eea394-b6c1-4596-b42d-685df856e8d4 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, "cilorku/76eea394-b6c1-4596-b42d-685df856e8d4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1006a1818f6d90c1f3e30b5ac6150997a57ae09d1cfde9793151e553fa6f1cb
- Size of remote file:
- 671 MB
- SHA256:
- 16905b32bf7943d40655d3939b1929cd6e40288d9568ae477313136153979f32
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