Text Classification
Transformers
Safetensors
distilbert
sentiment-analysis
sentiment
synthetic data
multi-class
social-media-analysis
customer-feedback
product-reviews
brand-monitoring
multilingual
πͺπΊ
region:eu
Synthetic
text-embeddings-inference
Instructions to use tabularisai/multilingual-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tabularisai/multilingual-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tabularisai/multilingual-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("tabularisai/multilingual-sentiment-analysis") - Inference
- Notebooks
- Google Colab
- Kaggle
Promit
#6
by promitxi - opened
README.md
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- tabularisai/swahili_sentiment_dataset
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> [!TIP]
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> π These models are now available through the Tabularis API.
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> Fast multilingual sentiment + emotion classification in 23 languages with structured outputs and simple pricing.
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Free 10K credits/month
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> π Docs + API key: https://tabularis.ai/sentiment-analysis/
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# π Multilingual Sentiment Classification Model (23 Languages)
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You can check it out here on Hugging Face:
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π https://huggingface.co/tabularisai/ModernFinBERT
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## π Hosted DEMO API
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- Customer service optimization
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- Competitive intelligence
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## Model Description
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## Citation
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```bib
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@misc{
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note = {Revision 69afb83}
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}
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```
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- tabularisai/swahili_sentiment_dataset
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# π Multilingual Sentiment Classification Model (23 Languages)
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You can check it out here on Hugging Face:
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π https://huggingface.co/tabularisai/ModernFinBERT
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- 2024/12: We are excited to introduce a multilingual sentiment model! Now you can analyze sentiment across multiple languages, enhancing your global reach.
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## π Hosted DEMO API
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- Customer service optimization
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- Competitive intelligence
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> If you wish to use this model for commercial purposes, please obtain a license by contacting: info@tabularis.ai
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## Model Description
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## Citation
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```bib
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@misc{tabularisai_2025,
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author = { tabularisai and Samuel Gyamfi and Vadim Borisov and Richard H. Schreiber },
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title = { multilingual-sentiment-analysis (Revision 69afb83) },
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year = 2025,
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url = { https://huggingface.co/tabularisai/multilingual-sentiment-analysis },
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doi = { 10.57967/hf/5968 },
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publisher = { Hugging Face }
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}
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```
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