Instructions to use souging/bb904e4b-d273-4a10-a7bf-c576a99770e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/bb904e4b-d273-4a10-a7bf-c576a99770e5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "souging/bb904e4b-d273-4a10-a7bf-c576a99770e5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f46eb89f7a6e14d9e9ce6571c2a06597695d33a059ec4c37ba98cb4287337cf5
- Size of remote file:
- 6.26 kB
- SHA256:
- d1b5442a1436f5029646a6ef23da7e76ec00590a76733a2b7e61f611188b8d86
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