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license: mit |
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# Kalaallisut FastText Model |
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This is a test for FastText model creation that i use in different mini project with limited data. |
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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. |
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## Model Details |
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- **Algorithm:** FastText (Skip-gram) |
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- **Vector Dimension:** 300 |
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- **Training Data:** 28,745 sentences (Kalaallisut text) |
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- **Epochs:** 10 |
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- **Minimum word occurrences:** 2 |
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## Usage |
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You can load and use the model with FastText to obtain word embeddings, find similar words. |
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