Instructions to use aleegis12/867b53c6-a812-40b9-98c0-16a86c0c29c8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/867b53c6-a812-40b9-98c0-16a86c0c29c8 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, "aleegis12/867b53c6-a812-40b9-98c0-16a86c0c29c8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6ea336560df34f1676199954f69dfbf8a9f67e2a0ea93584b8881e28bcf806c
- Size of remote file:
- 671 MB
- SHA256:
- 5813b557d0c8667c1522106531a574cd2bbc9bd743e2839bfa2ca4548949ee45
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