Instructions to use sukara13/gemma7bcars16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sukara13/gemma7bcars16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "sukara13/gemma7bcars16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0c40e4aca08562aab3d24365deaa723969e60d344fc8710e4c9bc0c2dbb053e
- Size of remote file:
- 14.2 kB
- SHA256:
- b107f4f51a620acf7d7def22167d614073e728ce071eddf6370fc90dcac002d8
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