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:
- 30a100089da84cd6fe86d938b32d59b027f1a20e31ec7736076f25636b683d0b
- Size of remote file:
- 1.21 GB
- SHA256:
- 63e25bbd3c7a9e2807093f64bce390511aa4b5d30922c2eb252830dd45af2d5b
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