Instructions to use kk-aivio/c3fe7a7f-79bd-414f-862f-c18c3d1780ad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/c3fe7a7f-79bd-414f-862f-c18c3d1780ad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "kk-aivio/c3fe7a7f-79bd-414f-862f-c18c3d1780ad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11f6d7573f1e578e64798ef1a1f41ed9aac98181d41343afd65a6ae0f8aee49d
- Size of remote file:
- 125 MB
- SHA256:
- cb833037b965e1383d92431e50c6077ee16ad220a6f78d78a5c4723e620545d3
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