instadeepai/tunbert

TunBERT is the first release of a pre-trained BERT model for the Tunisian dialect using a Tunisian Common-Crawl-based dataset. TunBERT was applied to three NLP downstream tasks: Sentiment Analysis (SA), Tunisian Dialect Identification (TDI) and Reading Comprehension Question-Answering (RCQA)

130 42 +0/wk

GitHub

bert-models dialect-identification nlp question-answering sentiment-analysis

Trend 0

Star & Fork Trend (19 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 130

forks 42

Growth Velocity

instadeepai/tunbert has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	tunbert	FinBERT-QA	faster-chat	Distill-BERT-Textgen
Stars	130	130	130	129
Forks	42	30	12	20
Weekly Growth	+0	+0	+0	+0
Language	Python	Python	JavaScript	Python
Sources	1	1	1	1
License	MIT	N/A	MIT	MIT

Capability Radar vs FinBERT-QA

tunbert

FinBERT-QA

Maintenance Activity 0

Last code push 1150 days ago.

Community Engagement 100

Fork-to-star ratio: 32.3%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.