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the-vedantic-coder/sentence-splitter
sentence-splitter is a machine learning model from the-vedantic-coder. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
The sentence splitter model is modification of the LSTM model with around 500 B input size taken from the repository: NNSplit The size of the model used here is ~4 MB.
Downloads · 30 days
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12% of all-time downloads
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From the Hugging Face model README
The sentence splitter model is modification of the LSTM model with around 500 B input size taken from the repository: NNSplit The size of the model used here is ~4 MB.
| NNSplit | Spacy (Tagger) | Spacy (Sentencizer) | |
|---|---|---|---|
| Clean | 0.754371 | 0.853603 | 0.820934 |
| Partial punctuation | 0.485907 | 0.517829 | 0.249753 |
| Partial case | 0.761754 | 0.825119 | 0.819679 |
| Partial punctuation and case | 0.443704 | 0.458619 | 0.249873 |
| No punctuation and case | 0.166273 | 0.180859 | 0.00463281 |
No punctuation and no cases (~17% accuracy) <br> Input:
the difference between rest and graphql is explained as follows
rest is an architectural style that exposes resources via endpoints typically following crud operations each endpoint returns a fixed data structure graphql on the other hand allows clients to specify exactly what data they need in a single query often reducing overfetching and underfetching issues
Result: 28.90ms ✅