BigBird IMDb Sentiment Classifier

This model is a fine-tuned version of BigBird-RoBERTa trained on the IMDb dataset for long-text sentiment analysis. It is designed to handle sequences up to 4096 tokens, making it ideal for analyzing full-length movie reviews.

Usage

from transformers import pipeline

classifier = pipeline("sentiment-analysis", model="arirajuns/bigbird-imdb-sentiment")
classifier("This movie was an absolute test of patience, but the ending redeemed it.")
# Output: [{'label': 'LABEL_1', 'score': 0.99}] (LABEL_1 = Positive)

Downloads last month: -; Downloads are not tracked for this model. How to track

Model tree for arirajuns/bigbird-imdb-sentiment

Base model

google/bigbird-roberta-base

Finetuned

(30)

this model