Instructions to use prxy5608/39e0b3be-d90d-4c36-a482-888a53bec889 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/39e0b3be-d90d-4c36-a482-888a53bec889 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, "prxy5608/39e0b3be-d90d-4c36-a482-888a53bec889") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4dd877af0f2c5f53eb81ea34f7bd583d0e1c4e59ce4e7e2d0ab75709f952163
- Size of remote file:
- 296 MB
- SHA256:
- 93696334d2e6d3eb6dbde8272470afaf671d51c5aff649425a88e817fe843dbb
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