Instructions to use cunghoctienganh/b1c563cb-3376-49be-8356-c2b8188d1b8f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/b1c563cb-3376-49be-8356-c2b8188d1b8f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/b1c563cb-3376-49be-8356-c2b8188d1b8f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04dbae13991e3c6cc89a88e6f673ffa84b17baa71b8cf68a0211d85326dfa11a
- Size of remote file:
- 36.3 MB
- SHA256:
- bfbba5f2424e1fb76f9911f018d6109368b1c6c9808db92f9fb1965797527b91
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