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:
- 0971eb0ca9de8061d1753d02e4c81f35150c44cf9267181379182a8d712d363a
- Size of remote file:
- 74.5 MB
- SHA256:
- bf9e96f3dd712ae4179161760ab3e5bcff5de48746c92b80af75ad6bf6fa0e6b
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