Instructions to use aleegis09/4f876cc5-7a44-4d97-8d5d-288baeccc851 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/4f876cc5-7a44-4d97-8d5d-288baeccc851 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B") model = PeftModel.from_pretrained(base_model, "aleegis09/4f876cc5-7a44-4d97-8d5d-288baeccc851") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31d97f64f5518cc0176cf63e9295dd627ba3e9c018f310776d78a30a84c2f322
- Size of remote file:
- 6.84 kB
- SHA256:
- ca724b7eaa7605e57f9d5da6bc703db54d3ad1bfaa9d020fb63d8fa18007805b
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