Instructions to use ahsbdcpu/google-gemma-7b-1724325878 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ahsbdcpu/google-gemma-7b-1724325878 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "ahsbdcpu/google-gemma-7b-1724325878") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad8dc35130932b030255f6911459ce3b1debfdf2392adc7cd60995a2a9be00e7
- Size of remote file:
- 5.37 kB
- SHA256:
- 5dbe68ecc961506b91e7a7cdcfc378cfbcc7a30f6cb456f7545f931c3d29f825
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