Instructions to use moritzmiller/sae-icm-final-checkpoint-gemma-2-2b-1e-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use moritzmiller/sae-icm-final-checkpoint-gemma-2-2b-1e-05 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "moritzmiller/sae-icm-final-checkpoint-gemma-2-2b-1e-05") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c63ffbc1aee088c8e803f3a31f04a0b8ed300f587835f1e461d6fb0ea2169602
- Size of remote file:
- 205 MB
- SHA256:
- 2c55476957214a8e9961da99f6f0a6f6b7ebfde7e181c6a88966e02c35d98168
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.