Instructions to use AhmedCodes64/Merged_Model_DPO_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AhmedCodes64/Merged_Model_DPO_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Bharatdeep-H/portfolio-query-qwen-2.5-1.5b-v10-cot_merged") model = PeftModel.from_pretrained(base_model, "AhmedCodes64/Merged_Model_DPO_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f36c62c817d82298f3ad03a62ea67c720f88afff24f47097738fd31262843cd2
- Size of remote file:
- 6.26 kB
- SHA256:
- db5b7ada2a7891adec96cc5803dca9ed20b9d9121612730a5dee0a3041f63f4f
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