Instructions to use jackkma/google-gemma-7b-1724786941 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jackkma/google-gemma-7b-1724786941 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "jackkma/google-gemma-7b-1724786941") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 094dce6c6ce6f08076c014d1a9b5af7f09b5b2a359d784dc6a226128027d0240
- Size of remote file:
- 6.44 MB
- SHA256:
- 4a3ed9f5547dd8a2239eea56e5840eb01df97aef5fa18c5d49760832a5a1989c
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