---
license: mit
---
# Kalaallisut FastText Model

This is a test for FastText model creation that i use in different mini project with limited data.

This is an unsupervised FastText model trained on a corpus of Kalaallisut (Greenlandic) text data. The model was trained using the skip-gram method to learn high-quality word and sentence embeddings, capturing semantic relationships between words in the language.
## Model Details

- **Algorithm:** FastText (Skip-gram)
- **Vector Dimension:** 300
- **Training Data:** 28,745 sentences (Kalaallisut text)
- **Epochs:** 10
- **Minimum word occurrences:** 2

## Usage

You can load and use the model with FastText to obtain word embeddings, find similar words.