Instructions to use quantaRoche/gemma-2-2b-it-philosophy-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use quantaRoche/gemma-2-2b-it-philosophy-qa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("D:\proj\ait506\proj\models\google-gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "quantaRoche/gemma-2-2b-it-philosophy-qa") - Notebooks
- Google Colab
- Kaggle
Gemma 2 2B Intruct finetuned with (IA)3 on 30 Philosophical papers for QA
Base model is from google/gemma-2-2b-it.
Task: Question Answering
Language: Engligh
Local setup: 1x RTX 4080 super
Evaluation Metric: Cosine similarity threshold for F1, Precision
Evaluation Dataset: Internal 10 questions with 2 acceptable prompts towards philosophy
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