Instructions to use AhmedCodes64/Base_Model_DPO_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AhmedCodes64/Base_Model_DPO_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2-1.5b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "AhmedCodes64/Base_Model_DPO_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15e03c615f926907d12900d83206b023a644e09cb7f920be4a20ef2f4c2d2e40
- Size of remote file:
- 150 MB
- SHA256:
- b74b0f6dff6b0c639c991c6fa63b41b2333341917f9aafac8d76cfb4b1a7e0df
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