Instructions to use eeeebbb2/a50c5de4-9953-4b89-a143-0264a3a50a7c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/a50c5de4-9953-4b89-a143-0264a3a50a7c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/a50c5de4-9953-4b89-a143-0264a3a50a7c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2585e5f5d34d34f47e2f4dc4ae724b4a50a70cb4b44aee4d7477ba83d73b446
- Size of remote file:
- 15 kB
- SHA256:
- 38f31d71ec7b622d19ac181289499b50e29fee2c3df8b7eaa7fabf64742e7b32
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