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license: unlicense
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---
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license: unlicense
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---
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# OkayLID
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OkayLID is a language identification model in FastText that is only 3 megabytes, meant for basic language detection. It can detect over 201 languages, at an extremely small size. OkayLID trained on a smaller subset of the OpenLID dataset.
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## Installation
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```bash
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pip install fasttext huggingface_hub
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```
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## Usage
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```python
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import numpy as np
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import fasttext
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from huggingface_hub import hf_hub_download
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np.array = lambda obj, *args, **kwargs: np.asarray(obj, *args, **{k: v for k, v in kwargs.items() if k != "copy"})
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model_path = hf_hub_download(repo_id="Cutecat6152/OkayLID", filename="OkayLID.bin")
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model = fasttext.load_model(model_path)
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text = "The quick brown fox jumps over the lazy dog."
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labels, probs = model.predict(text, k=1)
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print(f"Language: {labels[0].replace('__label__', '')}")
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```
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