Instructions to use flockgo/task-1-google-gemma-2-9b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use flockgo/task-1-google-gemma-2-9b-it with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "flockgo/task-1-google-gemma-2-9b-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d14418402a1cafd47b92f626fd197e85111f9be9b5924b66560d7ade3088c356
- Size of remote file:
- 54.1 MB
- SHA256:
- c9c5686926fc7636025c27de14fc5d7a61aa5e88e5db5391a7c1ee510e090e81
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