| 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. | |