1 repo
Awesome GitHub RepositoriesText Generation Controls
Tools and parameters for configuring the output characteristics, length, and formatting of generated text models.
Distinguishing note: Focuses on output configuration and segment length management rather than model training or architecture.
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Awesome Text Generation Controls GitHub Repositories
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- ggml-org/whisper.cpp
ggml-org/whisper.cpp
46,843View on GitHubWhisper.cpp is a high-performance, local-first speech recognition engine designed to run large-scale machine learning models on consumer hardware. It functions as a portable library that converts audio into text, supporting both static file transcription and real-time stream processing. By utilizing a lightweight inference engine and weight quantization, the project minimizes memory and compute overhead, allowing for efficient execution without reliance on external cloud APIs or internet connectivity. The project distinguishes itself through a hardware-agnostic compute abstraction that offloa
Provides configurable settings to adjust the maximum length and granularity of generated text segments for improved readability.
C++inferenceopenaispeech-recognition
