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:
- 5f965ac7e92bae4fe64f153dba371e73f93f217f8b2985e3b0fbd2986d9c40a2
- Size of remote file:
- 17.5 MB
- SHA256:
- f666a94065ce0db62cce4a6a0e754539bfe9211cacd26dd512c88e4dc156f1a7
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