Instructions to use digo-prayudha/emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use digo-prayudha/emotion_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-pt-224") model = PeftModel.from_pretrained(base_model, "digo-prayudha/emotion_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3196fb3347c19aee7c48ca6f6bdbcde1cc78f060db1189a181038ba0d7a86d9
- Size of remote file:
- 5.3 kB
- SHA256:
- 205ab039eec78ce57a1381270bcf2d3c68b8f45786556ae13519012e08ac1b67
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.