Instructions to use anurag-ai/task-13-google-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anurag-ai/task-13-google-gemma-2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "anurag-ai/task-13-google-gemma-2b") - Notebooks
- Google Colab
- Kaggle
task-13-google-gemma-2b / runs /Oct12_03-09-14_150-136-118-88 /events.out.tfevents.1728702560.150-136-118-88.14745.0
- Xet hash:
- 20dbfaa9b2ceb87de741ad532409e6ccab4862001225376a349d0a5ab6a9bd53
- Size of remote file:
- 8.38 kB
- SHA256:
- 968e28aed361e376a000366963b997c49097ae6c031b971ca5719a1b408a99e0
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