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:
- 49c252fc7c26893de9a518771dedd5a34ca830707b679bcb4ec64b50141e6087
- Size of remote file:
- 9.92 MB
- SHA256:
- 77705b94c67e9a2b3475740683f23142d2fdba40d8c976a7061d86b125ea50a6
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