Instructions to use kk-aivio/7485c976-ed58-4dc7-b244-f8e9dcbbdd40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/7485c976-ed58-4dc7-b244-f8e9dcbbdd40 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-560m") model = PeftModel.from_pretrained(base_model, "kk-aivio/7485c976-ed58-4dc7-b244-f8e9dcbbdd40") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce7e389648e3af474265bbe1dda2a01523b2eef15e689b1d13f3eb5f2ce404f6
- Size of remote file:
- 21.8 MB
- SHA256:
- d963066d6adae5034a1dc114c3ac444512de09928cf14ed4562ba94d9a440e66
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