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:
- 78d3798834cec5fa9c1b708c72e2b234cae3db2e4fec8c547c974c0a69e70394
- Size of remote file:
- 25.7 MB
- SHA256:
- b7aa7b3775a24bc3601b757d201c7c0c1c3cc911559e5f0aba2fc8cb93a2d01d
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