Instructions to use dimasik87/457f9fee-550f-485b-8d24-139104db1e82 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/457f9fee-550f-485b-8d24-139104db1e82 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "dimasik87/457f9fee-550f-485b-8d24-139104db1e82") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 140ab7a2389d54edffe6c16bed92da506d718dec58c8d7f52551d4a7e300fa38
- Size of remote file:
- 6.78 kB
- SHA256:
- b86dc1dc3523a320ae5e99081a98c7da3b4cb8390b786e3a4315571298b797c7
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