Odia Sentiment Classifier

Fine-tuned google/muril-base-cased for sentiment analysis in Odia language.

Built to serve the 45 million Odia speakers of Odisha, India.

Usage

from transformers import pipeline
pipe = pipeline("text-classification", model="Baps24/odia-sentiment-muril")
pipe("ଏହି ଉତ୍ପାଦ ଭଲ")  # Positive

Labels

  • Positive (ସକାରାତ୍ମକ)
  • Negative (ନକାରାତ୍ମକ)
  • Neutral (ନିରପେକ୍ଷ)

Training

  • Base model: google/muril-base-cased
  • Task: Sentiment Classification (3 classes)
  • Language: Odia (or)
  • Test Accuracy: 0.333
  • Test F1: 0.167
Downloads last month
12
Safetensors
Model size
0.2B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Baps24/odia-sentiment-muril

Finetuned
(50)
this model