Text classification AI Models

Models listed

50

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What goes in and out, licence terms, and whether you can host it yourself

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Published specs only — we don't estimate numbers a vendor hasn't stated

Text classification models are a source-backed task collection in this directory. The current editorial inventory contains 25 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Text classification model list

Scan the table below, then open any model for pricing, limits and the full write-up.

50 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
BAAI/bge-reranker-v2-m3
BAAI
8.78.2K$0.01$0.00
ahmedrachid/FinancialBERT-Sentiment-Analysis
ahmedrachid
5.0
Arunavaonly/Bangla-twoclass-Sentiment-Analyzer
Arunavaonly
5.0
BAAI/bge-reranker-base
BAAI
5.0
blanchefort/rubert-base-cased-sentiment
blanchefort
5.0
boboliu/Qwen3-Reranker-4B-W4A16-G128
boboliu
5.0
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment
CAMeL-Lab
5.0
cardiffnlp/twitter-roberta-base-sentiment
cardiffnlp
5.0
cardiffnlp/twitter-roberta-base-sentiment-latest
cardiffnlp
5.0
cardiffnlp/twitter-xlm-roberta-base-sentiment
cardiffnlp
5.0
circulus/koelectra-polite-v1
circulus
5.0
circulus/koelectra-sentiment-v1
circulus
5.0
cybersectony/phishing-email-detection-distilbert_v2.4.1
cybersectony
5.0
daekeun-ml/koelectra-small-v3-nsmc
daekeun-ml
5.0
distilbert/distilbert-base-uncased-finetuned-sst-2-english
distilbert
5.0
ElKulako/cryptobert
ElKulako
5.0
E-MIMIC/inclusively-classification
E-MIMIC
5.0
FacebookAI/roberta-large-mnli
FacebookAI
5.0
facebook/fasttext-language-identification
facebook
5.0
finiteautomata/bertweet-base-sentiment-analysis
finiteautomata
5.0
internlm/internlm2-1_8b-reward
internlm
5.0
jason9693/Qwen2.5-1.5B-apeach
jason9693
5.0
j-hartmann/emotion-english-distilroberta-base
j-hartmann
5.0
jitesh/emotion-english
jitesh
5.0
livekit/turn-detector
livekit
5.0
lucas-leme/FinBERT-PT-BR
lucas-leme
5.0
lvwerra/distilbert-imdb
lvwerra
5.0
lxyuan/distilbert-base-multilingual-cased-sentiments-student
lxyuan
5.0
meta-llama/Prompt-Guard-86M
meta-llama
5.0
microsoft/deberta-large-mnli
microsoft
5.0
microsoft/deberta-xlarge-mnli
microsoft
5.0
MilaNLProc/xlm-emo-t
MilaNLProc
5.0
mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
mrm8488
5.0
ncbi/MedCPT-Cross-Encoder
ncbi
5.0
nlptown/bert-base-multilingual-uncased-sentiment
nlptown
5.0
optimum-intel-internal-testing/tiny-random-distilbert
optimum-intel-internal-testing
5.0
papluca/xlm-roberta-base-language-detection
papluca
5.0
ProsusAI/finbert
ProsusAI
5.0
protectai/deberta-v3-base-prompt-injection-v2
protectai
5.0
pysentimiento/robertuito-sentiment-analysis
pysentimiento
5.0
Qwen/Qwen2.5-Math-PRM-7B
Qwen
5.0
SamLowe/roberta-base-go_emotions
SamLowe
5.0
s-nlp/roberta_toxicity_classifier
s-nlp
5.0
tabularisai/multilingual-sentiment-analysis
tabularisai
5.0
trl-internal-testing/tiny-Qwen2ForSequenceClassification-2.5
trl-internal-testing
5.0
TrustSafeAI/RADAR-Vicuna-7B
TrustSafeAI
5.0
unitary/toxic-bert
unitary
5.0
vectara/hallucination_evaluation_model
vectara
5.0
Xenova/ms-marco-MiniLM-L-6-v2
Xenova
5.0
yiyanghkust/finbert-tone
yiyanghkust
5.0

50 models · click a column to sort

About the capability score: a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Text classification model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.