Instructions to use prxy5607/7914e44b-af8b-481b-9bee-f3134ed0ac12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5607/7914e44b-af8b-481b-9bee-f3134ed0ac12 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Math-1.5B") model = PeftModel.from_pretrained(base_model, "prxy5607/7914e44b-af8b-481b-9bee-f3134ed0ac12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d537add3d691a560f7b215897f096d13d3abca0f5b2733b18aeceba01f5d2ccd
- Size of remote file:
- 6.84 kB
- SHA256:
- ee91c59f7399eaa144f134c28bf98b8d869a003ce88a76a8cdc2ff1c446c0eb5
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