Instructions to use jddllwqa/google-gemma-2b-1719821998 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jddllwqa/google-gemma-2b-1719821998 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "jddllwqa/google-gemma-2b-1719821998") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10f1fe5f616175a6854aaf52e8fa0ce12650ab941836be5f419f525863a13a2c
- Size of remote file:
- 5.3 kB
- SHA256:
- a56d44b0562e162740d59d647a76984238d6269cec431c632b340671923177d3
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