Instructions to use dimasik87/5933fc7c-eb40-4e07-ad9d-a841166e2089 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/5933fc7c-eb40-4e07-ad9d-a841166e2089 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, "dimasik87/5933fc7c-eb40-4e07-ad9d-a841166e2089") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d216d3e49d3c8e6cd26c8fad61e0b839db9503be39f7ca4f091e420f99e9aef
- Size of remote file:
- 6.78 kB
- SHA256:
- 90a9d9df6a01ff9bd3ee8c2b7e0c6582397558d076151f5db576cdd00107f388
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