AImodelsComparison.com 1,011 models
Menu
Models Best of Trending Can I run it? Methodology About
finiteautomata / text-classification updated 3 years ago

bertweet-base-sentiment-analysis

Model trained with SemEval 2017 corpus (around ~40k tweets). Base model is BERTweet, a RoBERTa model trained on English tweets.

Params
—
Context
128
Downloads 30d
1.5 M
Likes
194
Licence: unknown Not gated 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days
1.5 M1.5 M
Jul 28Jul 31Aug 3Aug 6

Specifications

Architecture
RobertaForSequenceClassification
Context length
128
Vocabulary
64,001
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
Best open coding models Commercial-use text models Models that fit in 12 GB
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.