Instructions to use prxy5605/a9b0317d-c334-46f6-ad0b-1efe57d67c2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/a9b0317d-c334-46f6-ad0b-1efe57d67c2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "prxy5605/a9b0317d-c334-46f6-ad0b-1efe57d67c2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d87dcd24d5cd91a558965c60152699eae0e40a4efe3fe424c60121637a892637
- Size of remote file:
- 6.78 kB
- SHA256:
- af6aeb88b48e3245346b4e98eec8d97e1a17c6fab5698f07a93d9f60b46fc6a8
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