Instructions to use codys12/IPS0v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codys12/IPS0v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Xwin-LM/Xwin-Math-7B-V1.0") model = PeftModel.from_pretrained(base_model, "codys12/IPS0v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d3c0e5c53c2e854910fb33136c49e79f066d763a5b9fee9ed81899de2d19e77
- Size of remote file:
- 134 MB
- SHA256:
- 3b4ce91c49ad75a668466e92117b5fca33dfc2b254e83e247eba2116f51a1548
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.