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:
- 7f00d88aff3e2e9678c656327b7fb7bdc20afbb27a3384ae72002c70db134694
- Size of remote file:
- 150 MB
- SHA256:
- 8b25019aab8258a033622face0d3e112eee5309de9d10c70a7c8965992728330
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