Instructions to use kk-aivio/d3352e3e-6be4-4755-b069-9a5010cb13a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/d3352e3e-6be4-4755-b069-9a5010cb13a1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "kk-aivio/d3352e3e-6be4-4755-b069-9a5010cb13a1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7631ddb2b626df7abee01faf1b134f624e4c9f5b68c7682fca6e67c2d9de45b9
- Size of remote file:
- 113 MB
- SHA256:
- b4a6808bd7273e2ba25114c67c5c1e4bfce690429327a95b247666a8f1b9a90e
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