Instructions to use dimasik87/8102bae9-c442-4a29-848f-946f8771f1f9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/8102bae9-c442-4a29-848f-946f8771f1f9 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, "dimasik87/8102bae9-c442-4a29-848f-946f8771f1f9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6557f4f7f4e36244112d545084740c812c54590424bb0d078c9e5f89c520453
- Size of remote file:
- 168 MB
- SHA256:
- 1d7c79d0d9671f73d6001c26eafdbb4a800f679b7926a613b593acadba2a3d67
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