Instructions to use Bepemin/da6ca938-0a7c-4c5c-9374-0eff9d911d79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bepemin/da6ca938-0a7c-4c5c-9374-0eff9d911d79 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "Bepemin/da6ca938-0a7c-4c5c-9374-0eff9d911d79") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7fc097210cb7ff193aae13216e3f1f5c911db2a198a742e472f99f367eed269
- Size of remote file:
- 6.78 kB
- SHA256:
- 1403c1d40fc4529a085a218004e4bee42e7f39736118763f1178f99257ffb4e0
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