Instructions to use hongngo/cb3b9a91-ed6d-477b-a7e7-952c7a176869 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/cb3b9a91-ed6d-477b-a7e7-952c7a176869 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "hongngo/cb3b9a91-ed6d-477b-a7e7-952c7a176869") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf0b2cac95d3073c56fff14f4b1cc8024ae9b46d03f7bc090bf6a6bd27ffa715
- Size of remote file:
- 80.9 MB
- SHA256:
- 3991a77207bb27b0c04b7d667f8fffe423ab6ac141d1cf3ec56bb095968b5ec0
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