Instructions to use handraise-dev/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use handraise-dev/outputs 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, "handraise-dev/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2964aa56feb42e07ecf05d090685ca41de38994ffe6f11d3ba445f096fd312a
- Size of remote file:
- 314 MB
- SHA256:
- cf9b66479f679e51832c8fb20d1264da1947488b5f968fcec5509c1c92de5528
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