Instructions to use litert-community/Basic-Pitch-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/Basic-Pitch-LiteRT with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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# Basic Pitch — LiteRT (CompiledModel GPU) music transcription
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[Basic Pitch](https://github.com/spotify/basic-pitch) (Spotify, ICASSP 2022, Apache-2.0)
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re-authored to a **GPU-native** LiteRT `.tflite` — **including the conv-based CQT front-end**
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(9 octaves, shared 36×256 kernel banks, lowpass downsample chain, no FFT). Bit-exact torch
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# Basic Pitch — LiteRT (CompiledModel GPU) music transcription
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*Audio input → note posteriorgram (MIDI pitch × time) from the on-device model.*
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[Basic Pitch](https://github.com/spotify/basic-pitch) (Spotify, ICASSP 2022, Apache-2.0)
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re-authored to a **GPU-native** LiteRT `.tflite` — **including the conv-based CQT front-end**
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(9 octaves, shared 36×256 kernel banks, lowpass downsample chain, no FFT). Bit-exact torch
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