Instructions to use cunghoctienganh/d590230e-76fe-4046-9ac0-f99b0bd627ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/d590230e-76fe-4046-9ac0-f99b0bd627ce with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/d590230e-76fe-4046-9ac0-f99b0bd627ce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a900ec3b7ee2cec5bb4b03f572186be9d57021d13cc25f44a1ca567138bb655
- Size of remote file:
- 6.78 kB
- SHA256:
- 485d4a48f76f9c0d30ee8def3c602698ecbef5f9288c8d62b98a680be6ce73c3
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