Instructions to use kk-aivio/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "kk-aivio/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 341b511188d42c624694aad9be5d1cd0d243590fc1646e27e66fb2c81581af10
- Size of remote file:
- 6.71 kB
- SHA256:
- b3ae15cacae6b168f236866c36c4efa3eb8f0726cf1344d7d5b07c37a1887fec
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.