Instructions to use APaul1/gemma-2b-it-Inmation_QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use APaul1/gemma-2b-it-Inmation_QA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "APaul1/gemma-2b-it-Inmation_QA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8e84fbdeb938ad7fab7c4dffb891c6fc8ba3bf1d5a0adfb19a8433ce709be9c
- Size of remote file:
- 5.11 kB
- SHA256:
- e2cb9bf89333b17a77799ec351efc1374c4a3e87817f4f523dba987910714775
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.