Instructions to use souging/4cdc9a4e-7448-45ad-bf08-a694cc569bfd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/4cdc9a4e-7448-45ad-bf08-a694cc569bfd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B") model = PeftModel.from_pretrained(base_model, "souging/4cdc9a4e-7448-45ad-bf08-a694cc569bfd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8db146eef06957c5b7bd27fcacab47bf3444c9b6fd5cc744af3f0296ae1712f
- Size of remote file:
- 148 MB
- SHA256:
- b88d9f5354bc4502b1d40bd1e62283696f652a4868211a3abf263585f25d779a
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