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.

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