cardiffnlp / text-classification updated 3 years ago

twitter-xlm-roberta-base-sentiment

Name: twitter-xlm-roberta-base-sentiment
Author: cardiffnlp

This is a multilingual XLM-roBERTa-base model trained on ~198M tweets and finetuned for sentiment analysis. The sentiment fine-tuning was done on 8 languages (Ar, En, Fr, De, Hi, It, Sp, Pt) but it can be used for more languages (see paper for details).

Params

—

Context

512

Downloads 30d

932 K

Likes

274

Licence: unknown Not gated 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

981 K932 K

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Specifications

Architecture: XLMRobertaForSequenceClassification
Context length: 512
Vocabulary: 250,002
Layers / heads: 12 / 12
First seen on the Hub: 2022-03-02
Training datasets: undisclosed
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 koelectra-small-v3-nsmc 2.9 M

Appears in

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