Instructions to use cunghoctienganh/4226a6a1-cbe4-498d-b9a0-9bc881f8eab5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/4226a6a1-cbe4-498d-b9a0-9bc881f8eab5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.3") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/4226a6a1-cbe4-498d-b9a0-9bc881f8eab5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38ea019fc740688d26fe709ff60a3185cc3eae623b980ae80621a17598ca4fc7
- Size of remote file:
- 6.78 kB
- SHA256:
- 58cf7fa3122f2a47078da36501935756d92f0a0cfdcc2b7c86a018cae156518b
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