Instructions to use prxy5606/a5f1640b-7c13-4fca-b363-c1be33e5cffe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5606/a5f1640b-7c13-4fca-b363-c1be33e5cffe with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5606/a5f1640b-7c13-4fca-b363-c1be33e5cffe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4fa87723fff2627519c35bc99a9edfae87c6315db89b4b6cd6d84c519367880
- Size of remote file:
- 6.84 kB
- SHA256:
- 832c048a6d1c29442bcfa70c34dcbc37dd0cea751551a158b97355358e8ed722
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