How to use from the
Use from the
PEFT library
from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM")
model = PeftModel.from_pretrained(base_model, "kk-aivio/ff948bfb-81ac-44c6-a4ed-8954f2d0956d")

ff948bfb-81ac-44c6-a4ed-8954f2d0956d

This model is a fine-tuned version of fxmarty/tiny-random-GemmaForCausalLM on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 12.3662

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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