--- title: README emoji: 🔥 colorFrom: gray colorTo: red sdk: static pinned: false --- Blackfire A.I. Speech technology for Nepali, built in Lalitpur, Nepal. ## Open models: Nepali speech recognition (Nepali ASR) | Model | What it does | |---|---| | [nepali-asr-xlsr-300m](https://huggingface.co/BlackfireAI/nepali-asr-xlsr-300m) | Nepali speech to Devanagari text. 12.0% character error on FLEURS Nepali, the lowest of the public Nepali models we benchmarked. Runs on CPU. Nepali only. | | [nepali-asr-aud8-325m](https://huggingface.co/BlackfireAI/nepali-asr-aud8-325m) | Nepali speech to punctuated text. Handles occasional English words. Needs a GPU. | **Try it in your browser:** [Open in Google Colab](https://colab.research.google.com/github/BlackfireAI/nepali-asr-xlsr/blob/main/try_it_in_colab.ipynb). Upload a Nepali recording, get Devanagari text. **Collection:** [Nepali speech recognition](https://huggingface.co/collections/BlackfireAI/nepali-speech-recognition) Both models are free for research and non-commercial use. For commercial use, contact hello@blackfire.com.np. Code, benchmarks and limitations: [github.com/BlackfireAI](https://github.com/BlackfireAI) ## Products - [Aawazz](https://www.aawazz.com): Nepali and English text-to-speech, voice cloning and dubbing - [LipiSub](https://lipisub.com): video transcription, translation and subtitles - [Tipni](https://www.tipni.pro): meeting notes for Nepali, English and mixed-language meetings Contact: hello@blackfire.com.np