Instructions to use lhong4759/ecb71001-45d6-415a-9119-65693174fdbb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lhong4759/ecb71001-45d6-415a-9119-65693174fdbb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "lhong4759/ecb71001-45d6-415a-9119-65693174fdbb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d04ad0533a042e4b216a53ca6996fc771967f6ccdc28da588a1711e2e4a8fa8
- Size of remote file:
- 120 MB
- SHA256:
- b26c2cf3342a14e11d4aac096baac49f3d3ad08f56354f2de598c3604426abde
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