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:
- 99c033752e81e22196ec07da774ed826ff7d5afcfe3f9c0ee5135748571ecc5f
- Size of remote file:
- 80.9 MB
- SHA256:
- 4785dcb0bd05ebbb2a0c91be7cdd7dbb8b01a3080a084013f79199c8696e2eff
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