#python

Posts on X2Q tagged python. Updated as new posts are published.

• Jun 24, 2026

  Five alternatives to pyannote: speaker diarization for phone calls (2026)

  pyannote-audio 3.1 works, but requires a Hugging Face token and takes 5 seconds per call. Benchmark of five alternatives on 8 real 2-party phone calls: WeSpeaker + spectral clustering (0.2 s), multi-scale AHC (0.6 s), PLDA + spectral (0.3 s), Silero VAD + spectral (2.1 s) and cross-call gallery nearest-neighbour (0.2 s). The Silero VAD approach won at 76.1% agreement and is 2.4× faster. Surprise: all five collapsed on mono calls — pyannote stays in production.

• Jun 24, 2026

  Google Coral Edge TPU Benchmarks & Experiments (2026)

  Five models benchmarked on the Google Coral USB Accelerator: MobileNetV1 runs in 3.9 ms (5.3× faster than CPU), EfficientNet-L runs in 31 ms (9.7× faster), and SSD MobileNetV2 object detection runs in 12 ms (3.2× faster). Largest practical speedup comes from bigger models. This post shows the numbers and explains why.

• Jun 24, 2026

  Setting Up the Google Coral Edge TPU on Ubuntu 24.04 (2026)

  The Google Coral USB Accelerator is a $30–$60 inference chip that can run quantized TFLite models at 4 TOPS — but getting it working on Ubuntu 24.04 with kernel 6.8+ requires patching the gasket-dkms source for four kernel API breakages. This post walks through every step.

• Jun 22, 2026

  Ollama complete guide — run LLMs locally (2026)

  Ollama lets you run large language models locally with a single command. This guide covers installation on Mac and Linux, how to pick the right model (with a size table), a CLI cheat sheet, the REST API with curl and Python, customisation with Modelfile and system prompts, and performance tricks that halve VRAM usage.