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:
- e85185c85635f802b0ce8b1da52c3b50428a7d004e9b72e281f8d72eaae10890
- Size of remote file:
- 14.2 kB
- SHA256:
- b5cfbdfd476ba453801a7b0b549bc8952ec25e55308ff788915444832b54f51c
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