language-id-quantized
This model is an export of this FastText Language Identification model for `staticvectors`. `staticvectors` enables running inference in Python with NumPy. This helps it maintain solid runtime performance. Language detection is an important task and identification with n-gram models is an efficient and highly accurate way to do it. _This model is a quantized version of the base language id model. It's using 2x256 Product Quantization like the original quantized model from FastText. This shrinks this model down to 4MB with only a minor hit on accuracy._
번역 준비 중입니다. 원문을 표시합니다.
This model is an export of this FastText Language Identification model for `staticvectors`. `staticvectors` enables running inference in Python with NumPy. This helps it maintain solid runtime performance. Language detection is an important task and identification with n-gram models is an efficient and highly accurate way to do it. _This model is a quantized version of the base language id model. It's using 2x256 Product Quantization like the original quantized model from FastText. This shrinks this model down to 4MB with only a minor hit on accuracy._
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