Instructions to use tuanna08go/5c0d2573-80e9-431f-aec9-7c4bd200fb15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/5c0d2573-80e9-431f-aec9-7c4bd200fb15 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, "tuanna08go/5c0d2573-80e9-431f-aec9-7c4bd200fb15") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd753327436e7ee64f325c94ccdbf3e10c38d9bf9abc86c78be1eefe0e0a4b33
- Size of remote file:
- 114 MB
- SHA256:
- 9c004964a8ca7c049ead9a40e6bfa17926fe2c3b1eef8554bae34e0a3d0c23e0
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