Instructions to use duyphu/ba4c982e-9fec-404c-b0de-24e67acf7fa5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/ba4c982e-9fec-404c-b0de-24e67acf7fa5 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, "duyphu/ba4c982e-9fec-404c-b0de-24e67acf7fa5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 995a3626b87e7401982ef422696bcd647685f179fc69df81fda7dab898055884
- Size of remote file:
- 37 MB
- SHA256:
- c215c2dcc6109bc20b08bde146600f784fb7d3fb021331ed3537e2046349218a
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