doing something
Now, it's pullable: docker run -it --rm -p 8888:7860 --name kenlm-ui ghcr.io/crs-org/kenlm-ui:0.1.0 It supports linux/amd64, linux/arm64
GitHub
kenlm-ui/.github/workflows/ci.yml at main · crs-org/kenlm-ui
UI that simplifies building of KenLM models. Contribute to crs-org/kenlm-ui development by creating an account on GitHub.
https://jurasofish.github.io/a-very-early-play-with-astrals-red-knot-static-type-checker.html
#python #dx
#python #dx
Michael Jurasovic's Weblog
A Very (!) Early Play With Astral's Red Knot Static Type Checker
This is a casual look at a WIP piece of software that I know nothing about - don't draw too many conclusions from this. Astral is doing The Lord's work with python tooling. Ruff is a joy to use for both formatting and linting. And the newer uv has breathed…
Tested torchaudio's integration of flashlight-text and kenlm packages:
https://huggingface.co/spaces/Yehor/w2v-bert-uk-v2.1-lm-demo
#ai #speech
https://huggingface.co/spaces/Yehor/w2v-bert-uk-v2.1-lm-demo
#ai #speech
huggingface.co
Speech-to-Text for Ukrainian v2.1 (W2V-BERT 2.0) with LM - a Hugging Face Space by Yehor
Upload or record Ukrainian audio to get a text transcription. The app handles files up to 60 seconds long and provides transcriptions using a specialized model.
Made a simple Python script to generate Argilla project for audio annotation from a dataset:
https://github.com/egorsmkv/argilla-audio-annotation
https://github.com/egorsmkv/argilla-audio-annotation
GitHub
GitHub - egorsmkv/argilla-audio-annotation: Audio Annotation in Argilla - a python script creates an audio dataset to the Argilla…
Audio Annotation in Argilla - a python script creates an audio dataset to the Argilla instance - egorsmkv/argilla-audio-annotation