Instructions to use aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa9379f18e31c6834f980eaebae65bd355d6d08b479f791abb169ba772af4ccb
- Size of remote file:
- 40.2 MB
- SHA256:
- a827d82c6fddd582c2adf8418ecc68bf15fb117024264fc77dd8d627381a3742
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