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:
- 0764cce375d3142e382f11460dc082e64236889a13a65a7a68a85d386bacdfb6
- Size of remote file:
- 6.78 kB
- SHA256:
- 762dfd55a351af7666f723d959005380d12fcb724b397c1eee0e5c75a12280a4
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