Instructions to use tarabukinivanhome/8e227918-5a73-4542-867a-e82bfd1a23d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivanhome/8e227918-5a73-4542-867a-e82bfd1a23d4 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, "tarabukinivanhome/8e227918-5a73-4542-867a-e82bfd1a23d4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eeed0da27c495b96c8fe9df357354311c13b6fc04430a05214f014d6b99d4195
- Size of remote file:
- 6.78 kB
- SHA256:
- a1d6625efc7c3c14e630ebf9abc4873eb555419e86ba918e7a4d1983165c97e9
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