Instructions to use cunghoctienganh/1860bcee-7b81-46a1-9a72-dfd19ba45b4f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/1860bcee-7b81-46a1-9a72-dfd19ba45b4f 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/1860bcee-7b81-46a1-9a72-dfd19ba45b4f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 789d06fe2e41ce4ea1bedebc88a4ac33f6a86e4b12a11b11fc1f809425eb27c5
- Size of remote file:
- 80.9 MB
- SHA256:
- 645b9199c89b3cc13756f51a9e8160dc280c4c2095f5366ebbd93c01e9d1b01a
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