Instructions to use Ikeofai/gemma-2b-for-python-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ikeofai/gemma-2b-for-python-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "Ikeofai/gemma-2b-for-python-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87493276b47f178949000bc5a4db9b3b402277cdc909466867d0f6ee1efaf178
- Size of remote file:
- 17.5 MB
- SHA256:
- be6a73ef464a7f76cec021ff56e85537ae16442ccb0c77b8f73480917d9bb492
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