Instructions to use nhungphammmmm/794b6218-0616-42e3-a17a-d0db1b92cee2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/794b6218-0616-42e3-a17a-d0db1b92cee2 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, "nhungphammmmm/794b6218-0616-42e3-a17a-d0db1b92cee2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26c1f7b9ecf442e5b55dabe8559188b84993b818ca7a69f00e8a3a71b08dda4f
- Size of remote file:
- 36.3 MB
- SHA256:
- 8d49edaadc30863e9658a4f67e5c07564a27e1f2468f728ecf4aabec0c09053c
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