Instructions to use cunghoctienganh/df13820e-5c72-4b5d-81d7-8ad96c5f04a4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/df13820e-5c72-4b5d-81d7-8ad96c5f04a4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/df13820e-5c72-4b5d-81d7-8ad96c5f04a4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a32facccc7d7151e05cd773b30ab9b16f863fee38f65b0a61f8780d3fde0252
- Size of remote file:
- 59.9 MB
- SHA256:
- 6a6c71562377615986cd826c7f95860293ab5dd7330f7d3a9b4b4491d7a9feff
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