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:
- 5769eff1c9aca4f09ad3c2d578b9c0e2833d6d801d7b4e125adc054a4ffacf7a
- Size of remote file:
- 6.26 kB
- SHA256:
- f4e34a7aeb69a4a21e1c505bbaad36426178300d010bb004cdd23d1a790d2605
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