Instructions to use cohesionet/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cohesionet/out with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-2b-it") model = PeftModel.from_pretrained(base_model, "cohesionet/out") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d559ae9ba3925748b53f7891aece7d85b01d4bd3b13f1460b751ff894886f5d2
- Size of remote file:
- 4.98 kB
- SHA256:
- a8b2c2b42eaf822e48d048691e1fe59042439e7860c7278033955fbccf087895
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.