Instructions to use tomaszki/model-28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tomaszki/model-28 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tomaszki/nous-thirty-four-0") model = PeftModel.from_pretrained(base_model, "tomaszki/model-28") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5813f1a841e37ddf55c6d5c208d57624b2f328ba0447bff0f175cd759131b60a
- Size of remote file:
- 168 MB
- SHA256:
- 94610c7463ef7ec3fd4605cfc2cdf4330c5c8c1727e549664e23cd8fa88870d6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.