Instructions to use tomaszki/model-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tomaszki/model-10 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-10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97a5c8f3b9197274c8466d8ffbeb9fa8a6c15f05c24b25dd4c03cd80b6a6daaf
- Size of remote file:
- 168 MB
- SHA256:
- 0d5d3425307b9f4eeca66fdf4af50a7f96759b06b5478fb67a8aa6a93ea2e99a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.