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:
- abcd935451ec4b71f1581df4f6ad13b46345d4aac7689156f77ef89ce2da258c
- Size of remote file:
- 78.5 MB
- SHA256:
- 17ed6023325cf1944f0fb128371f5ce97db6293448becaf7b64c66bb57354fa8
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