Instructions to use kk-aivio/55cf67b9-0f62-4e44-aa53-bd4c2e7b2f50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/55cf67b9-0f62-4e44-aa53-bd4c2e7b2f50 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-7b-64k") model = PeftModel.from_pretrained(base_model, "kk-aivio/55cf67b9-0f62-4e44-aa53-bd4c2e7b2f50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2be59117bd1efdd892e28decc34e1916048dc38ba0e032e5eb78b4600a7f3a5d
- Size of remote file:
- 80.1 MB
- SHA256:
- 0ab2151c12e3d18f7ef44d3db0cb2dc54ea14046ffd05bcb25dc582609a8012f
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