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:
- f95d72a0eda3ac53193bf50f1849c9931abd755f7e090259529c179d7eaca785
- Size of remote file:
- 5.96 MB
- SHA256:
- 11407487f4da3f4ab302670472ba6d2ebdff710ddcf970e2c332a9dd25dd1443
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.