Instructions to use imnim/multi-label-email-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use imnim/multi-label-email-classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "imnim/multi-label-email-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b1ca46145a9a402b0592f18a20182390e19e2e0a1bfd53d3217af58a467886d
- Size of remote file:
- 27.4 MB
- SHA256:
- 04b774fbd4b5df9bdb3c3aad04d11dde924d732f26b4f3b6120ab9d145dbf961
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.