Instructions to use tsk-18/ft-google-gemma-2b-it-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tsk-18/ft-google-gemma-2b-it-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "tsk-18/ft-google-gemma-2b-it-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9430ccb5c7b3b3c80cb7d2578dd4b52ae49d5f8a01e12b61b1dea0785d14f87
- Size of remote file:
- 4.92 kB
- SHA256:
- 034fb7a7a10feafe9976b983194d753fdb18014da327b2e717d5f9e840345887
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