tabularisai / text-classification updated 6 days ago

multilingual-sentiment-analysis

Name: multilingual-sentiment-analysis
Author: tabularisai

[!TIP] > 🚀 These models are now available through the Tabularis API. > Fast multilingual sentiment + emotion classification in 23 languages with structured outputs and simple pricing. > > ✅ Free 10K credits/month > 📚 Docs + API key: https://tabularis.ai/sentiment-analysis/ -->

Params

140 M

Context

512

Downloads 30d

399 K

Likes

393

Commercial use: not allowed · cc-by-nc-4.0 Not gated SAFETENSORS 23 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

497 K399 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	0.5 GB	1.1 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: DistilBertForSequenceClassification
Parameters: 140 M
Tensor type: F32
Context length: 512
Vocabulary: 119,547
Licence: cc-by-nc-4.0
First seen on the Hub: 2024-12-07
Training datasets: tabularisai/swahili_sentiment_dataset
Added to our catalog: 2026-07-28

Compare with

bge-reranker-v2-m3 19.2 M finbert 5.6 M bge-reranker-base 4.6 M Prompt-Guard-86M 4.5 M distilbert-base-uncased-finetuned-sst-2-english 3.7 M twitter-roberta-base-sentiment-latest 2.6 M

Appears in

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