Instructions to use prxy5607/2eee19b9-acb8-4a83-bc6e-f5ecba1d801a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/2eee19b9-acb8-4a83-bc6e-f5ecba1d801a 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, "prxy5607/2eee19b9-acb8-4a83-bc6e-f5ecba1d801a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6ddc46d410d7ec2f892fc684ff6896c8de5b354155d4d52242cb5384f9f7a28
- Size of remote file:
- 6.84 kB
- SHA256:
- f9adff8276819b043c5afd36640a90bc311b59a98337e3d0139abff2473a4c5a
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