Instructions to use alchemist69/80c8cc8a-dc63-4e6f-9af1-de1604ee5b4d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/80c8cc8a-dc63-4e6f-9af1-de1604ee5b4d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M-Instruct") model = PeftModel.from_pretrained(base_model, "alchemist69/80c8cc8a-dc63-4e6f-9af1-de1604ee5b4d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e3b8b34f7b36548f0bb4268fd9319b9ac4afc92f927a61d50adddbd1c76eb3c
- Size of remote file:
- 6.84 kB
- SHA256:
- e484bc1b5e94a2cd261a6d963dc71a22c9644eafb15c4c8beb525de5b1709be0
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