Instructions to use aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33 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, "aleegis09/9db5a789-8468-4a51-9c32-1329fc567a33") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d70d504bc84c1e6b12e7c51c22eaaad04317284baef52abae1bfba3844a7c4a2
- Size of remote file:
- 671 MB
- SHA256:
- af414cda337860632eaae71680a65a5112f997decdc416e566e95b7948976d43
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