22 packages tagged with “sentence”
Sql sentence builder
A utility class for manipulating text in sentences
NET Standard 2.1 library to produces embeddings using C# Bert Tokenizer and Onnx All-Mini-LM-L6-v2 model.
The wrapper provides a simple and easy-to-use interface for loading the Snowflake's ArcticXS embeddings model and generating embeddings for input text.
The wrapper provides a simple and easy-to-use interface for loading the MiniLM embeddings model and generating embeddings for input text.
Class library for working with general language constructs.
The wrapper provides a simple and easy-to-use interface for computing embeddings from text.
Hashiku should help to remember long hash codes such as a SHA-1 by translating them into sentences. If you are lucky they may even sound like a Haiku (https://en.wikipedia.org/wiki/Haiku).
An extensible utility to convert, identify, and flip string case.
Easily implement guardrails around LLM prompts.
A markov-chain based sentence generation library.
Library for arbitrary generation of words, sentences, names, and other language elements.
Provides storage interfaces for the AtelierTomato.Markov project.
Provides the data structures for the AtelierTomato.Markov project.
Provides the core logic for the AtelierTomato.Markov project, a library for generating sentences using Markov chains.
Provides a storage implementation using Sqlite in order to store Sentences and WordStatistics.
Sentence Case (sentence-case) binding library for Bridge.NET projects.
Provides a parser and renderer for the AtelierTomato.Markov project, designed to work with Discord channels by utilizing data structures from Discord.Net.Core. This package does not handle direct communication with Discord; instead, it focuses on parsing and rendering text within Discord contexts.
A simple and efficient .NET library for converting text between various casing styles, including sentence case, title case, uppercase, lowercase, capitalized, camel case, Pascal case, snake case, kebab case, and alternating case.
Here we need to wr0ite A short sentence explaining what your API does.
The wrapper provides a simple and easy-to-use interface for loading the Qwen3 embeddings model and generating embeddings for input text.