Instructions to use 1-lock/5ebbb604-0af3-4ed3-9f2e-2a50dba818ac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/5ebbb604-0af3-4ed3-9f2e-2a50dba818ac with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B") model = PeftModel.from_pretrained(base_model, "1-lock/5ebbb604-0af3-4ed3-9f2e-2a50dba818ac") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fb11f99c8cf026fd35f006ce8fd5369e7d57639f379fb086481df6c8b9f1450
- Size of remote file:
- 6.84 kB
- SHA256:
- 3962e883835f3801a2f406571438eb0ee87368b6fe85127f69d0138813dfaeb7
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