Instructions to use prxy5605/2dce99b2-e47a-4182-8b16-c1ebc07313ab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/2dce99b2-e47a-4182-8b16-c1ebc07313ab 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, "prxy5605/2dce99b2-e47a-4182-8b16-c1ebc07313ab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4060a469e4db394fa258b8e38a3160e15f139326eaf19e1ed3d38870775ff4fb
- Size of remote file:
- 912 MB
- SHA256:
- b6c5ef1348e36c7a51f820bf55136b396e734558fabe696e37c7d6f1f957d83b
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