Instructions to use Saeedabdf/gemma2-27b-biomedical-5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Saeedabdf/gemma2-27b-biomedical-5k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-27b-it") model = PeftModel.from_pretrained(base_model, "Saeedabdf/gemma2-27b-biomedical-5k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8faa3bc3643dc13c5e4ad543f160c0127b406e8aee124e3e872fcaecea8acd3
- Size of remote file:
- 17.5 MB
- SHA256:
- 3f289bc05132635a8bc7aca7aa21255efd5e18f3710f43e3cdb96bcd41be4922
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