Instructions to use adityasihag/math_QA-gemma-2B-QLoRA-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adityasihag/math_QA-gemma-2B-QLoRA-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "adityasihag/math_QA-gemma-2B-QLoRA-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03a1aa58ee15f9e4183612d76a3092c7998ffde6c0cc6a686ecd4a3b85523b8e
- Size of remote file:
- 1.26 GB
- SHA256:
- 10c0a7ab5fe0cfd1aa3b76ff2628b72bfb215fed9abf61d949e199785048ae6d
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