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twitter-roberta-base-sentiment-kartikey
KartikeyVats3/twitter-roberta-base-sentiment-kartikey
twitter-roberta-base-sentiment-kartikey is a text classification model from KartikeyVats3. Use it when you need a label for a piece of text. It is set up for transformers.
<bLabels</b: 0 - Negative; 1 - Neutral; 2 - Positive
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Apr 24, 2024
- Updated
- Apr 24, 2024
- SHA
- 183c342a
Try a prompt
Datasets
Model card
From the Hugging Face model README
Twitter-roBERTa-base for Sentiment Analysis
<b>Labels</b>: 0 -> Negative; 1 -> Neutral; 2 -> Positive
Example Pipeline
from transformers import pipeline
sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path)
sentiment_task("Covid cases are increasing fast!")
[{'label': 'Negative', 'score': 0.7236}]
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- en
- Created
- Apr 24, 2024
- Updated
- Apr 24, 2024