Instructions to use datlaaaaaaa/06a6c03d-f004-483e-be0d-9062320e1bda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/06a6c03d-f004-483e-be0d-9062320e1bda with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "datlaaaaaaa/06a6c03d-f004-483e-be0d-9062320e1bda") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04cffdf02cb31e66cd876942b41f16d5b8510fbcfb2515d25e67445ce2926eb1
- Size of remote file:
- 6.78 kB
- SHA256:
- e6c1db10f74f7cea8bd7bb8b867d42706897dd8dc1eddd125688032b28374b24
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