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:
- 777e5ec15fff7d30b86c20dc2a489aa796dd818f16e7c2af54e9b5394749fe8a
- Size of remote file:
- 120 MB
- SHA256:
- abd26bb6ac5573697b7a313855e33e8b155dc980934eeb79777fdb1017e2c1cb
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