Instructions to use RayBernard/gemma-2b-dolly-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RayBernard/gemma-2b-dolly-qa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "RayBernard/gemma-2b-dolly-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6b3fc6b83d6571e6427cda0b29f9df863fbc6bb227432d2a2060fe2a5e83353
- Size of remote file:
- 5.37 kB
- SHA256:
- e1401d27d8966f74191e28a3cd46dff874f0752171002010030558d7fda2614b
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