Instructions to use xiaominghuang/task-5-google-gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xiaominghuang/task-5-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, "xiaominghuang/task-5-google-gemma-2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65fb484d5d6a58aa228c09d55ae31785f630fc486aa82cd624e5a840a142ea6e
- Size of remote file:
- 5.37 kB
- SHA256:
- 82956e3f68c3ad6a4a6197ed771c10aec0658c1160c5c94158276fc9360e90e4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.