Instructions to use kokovova/63bfba2f-a922-4768-b29a-531a63b8e34d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/63bfba2f-a922-4768-b29a-531a63b8e34d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "kokovova/63bfba2f-a922-4768-b29a-531a63b8e34d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1e77475c2413670ba228ede0695afde18b63ff80e8be3d9ce38e93e45b3caf6
- Size of remote file:
- 6.78 kB
- SHA256:
- 7aea92047b9038b632a177ca428cd1db5691282763232ee76acdb6eff6063b02
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