Instructions to use tuanna08go/2ef1e1a4-26ca-421b-88f2-e27390147b1d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/2ef1e1a4-26ca-421b-88f2-e27390147b1d 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, "tuanna08go/2ef1e1a4-26ca-421b-88f2-e27390147b1d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d606a3be0620e271c15e00ef94009232dca378b922e5c50707ff1caef6ae06c3
- Size of remote file:
- 83.9 MB
- SHA256:
- a3a29fff2e223f28a135847f53cc28906dc79a13c42ff9e91552956b2c1647b3
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