Instructions to use soyk/cs_address_parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use soyk/cs_address_parser with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-34B") model = PeftModel.from_pretrained(base_model, "soyk/cs_address_parser") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4876a373780e902bba2145be1a32b9c9e33a8f0613b70039657d556b808dbf03
- Size of remote file:
- 346 MB
- SHA256:
- 4dd6917d8fa7f5063f8f3c7ed7f980e075752b5bb89b83d7d6bd7fd9d98b6744
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.