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:
- a291677195fd1c84f43a4b5142ad2b73b82510316576ae6a051d48bada102dea
- Size of remote file:
- 6.78 kB
- SHA256:
- c8726a07990d53b3b1a00b5e07d5e2467f6293787974b856702499b21beb34e9
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