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bigbird-imdb-sentiment
arirajuns/bigbird-imdb-sentiment
bigbird-imdb-sentiment is a text classification model from arirajuns. Use it when you need a label for a piece of text. It is set up for transformers.
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…
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Updated Feb 20, 2026
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At a glance
- Task
- Text Classification
- Library
- transformers
- Access
- Public
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026
- SHA
- 21b56968
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Base models
Model card
From the Hugging Face model README
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)
- Task
- Text Classification
- Library
- transformers
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026