Instructions to use fanyilun/google-gemma-7b-1724774097 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fanyilun/google-gemma-7b-1724774097 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "fanyilun/google-gemma-7b-1724774097") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d24f4b0545e6204046328b3e4a1167ae002eddb802a9aba9401f91af22aacd0
- Size of remote file:
- 5.43 kB
- SHA256:
- 4312e409b4ca0fee0a379946e97af284491dabaf4a4f2c970bf646f7440c5031
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