Instructions to use chauhoang/22b51f7d-20cd-4c2b-acd3-17dd67855da1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/22b51f7d-20cd-4c2b-acd3-17dd67855da1 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, "chauhoang/22b51f7d-20cd-4c2b-acd3-17dd67855da1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd464962c8165118021a376904e75af78560d42092f48db808d9639f8b246bb1
- Size of remote file:
- 6.78 kB
- SHA256:
- c631bdf4dc1e7cd9b999ae5fcd60ebe6ee61f24f6dcef59de5142616e1e983bc
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