Text Generation
PEFT
Safetensors
English
natural-language-autoencoder
nla
interpretability
mechanistic-interpretability
gemma
consumer-gpu
lora
Instructions to use Solshine/gemma-4-e2b-nla-L23-ar-v0_1-paraphrase-invariant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Solshine/gemma-4-e2b-nla-L23-ar-v0_1-paraphrase-invariant with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E2B") model = PeftModel.from_pretrained(base_model, "Solshine/gemma-4-e2b-nla-L23-ar-v0_1-paraphrase-invariant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c4fb22dc88061edc4df3637e5a3e9ebca2eed026b3d1b3736d53f49ba5a9a25
- Size of remote file:
- 85.8 MB
- SHA256:
- b9dd6915b3fd7a798e230b1b530be979baaaf1ab93eab96906fb02851bbfc61e
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