Instructions to use thangla01/697e9381-8229-40d2-a751-a8be889920e0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/697e9381-8229-40d2-a751-a8be889920e0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "thangla01/697e9381-8229-40d2-a751-a8be889920e0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20cbb798b2554292b968b11edc85696f4be06f6aefcb61ed441e30c04e0c470a
- Size of remote file:
- 6.78 kB
- SHA256:
- b205541e3d637cbbfe1d97c7a50cb67ec72b410ea4d7287c0173e0b8e0279e8e
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