Instructions to use dummycouchspud/adapter_demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dummycouchspud/adapter_demo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NumbersStation/nsql-350M") model = PeftModel.from_pretrained(base_model, "dummycouchspud/adapter_demo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c65e7ec9f9edbfa0bc2131b719bfa1688dec18cf6ab0e1ef7089f918bab46c4
- Size of remote file:
- 21 MB
- SHA256:
- 76c331bc8c75c28e34d7b9ada84f7155988a926f656fc0691a5359cd29a78911
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