Facebook AI Research
fastText
Efficient word representations with subword information.
Handles out-of-vocabulary wordsFast training and inferenceGood for low-resource languagesSupports text classification
Today's score
87.0
Where it ranks today
Best for / Not great for
Best for
- Text classification
- Handling typos and rare words
- Low-resource language NLP
- Baseline word embeddings
Not great for
- Contextual word embeddings
- Advanced semantic search
- Complex sentence/document understanding
- Modern RAG pipelines
Why it ranks here
fastText's ability to handle subword information and out-of-vocabulary words keeps it relevant for specific tasks like text classification and low-resource languages. However, its lack of contextual understanding limits its utility in modern semantic search and RAG.
30-day trend
Score breakdown
Search trends86
Benchmarks87
Developer buzz88
News mentions85
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Popular
Pre-trained Models (Open Source)
Downloadable models for various languages.
Free
- Subword information
- Fast training
- Support for many languages
- Text classification integration