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:
- 52802f9ca0e9b3fe172ddb7d1976ada3f1cd676e89017fd66548b4076ccb9f10
- Size of remote file:
- 146 MB
- SHA256:
- 88cb0bb2e1174400db73019f1a6cd690b6325046271051460b91572ad0b2dc28
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