Instructions to use vdpappu/lora_scienceqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdpappu/lora_scienceqa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "vdpappu/lora_scienceqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9df581e76079ee278200befbce2cd7efbc7d112467e55e8dc2560858f448d4f6
- Size of remote file:
- 7.43 MB
- SHA256:
- 9a3f58ab6039a54deae9ff93770e8f144425d07d2999ba02baf957d9a8b5eba4
路
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