Automatic Speech Recognition
LiteRT
English
embeddinggemma
speech-recognition
ctc
word-embeddings
on-device
core-ai
Instructions to use mlboydaisuke/EmbeddingGemma-2-Transcribe-Reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use mlboydaisuke/EmbeddingGemma-2-Transcribe-Reader 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
Download NOTICE from mlboydaisuke/EmbeddingGemma-2-Transcribe-Reader: direct link, hf CLI and curl.
- Browser
- Download file 1.38 kB
-
https://huggingface.co/mlboydaisuke/EmbeddingGemma-2-Transcribe-Reader/resolve/main/NOTICE
- Command line
-
hf download hf://mlboydaisuke/EmbeddingGemma-2-Transcribe-Reader/NOTICE
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curl -L -o NOTICE https://huggingface.co/mlboydaisuke/EmbeddingGemma-2-Transcribe-Reader/resolve/main/NOTICE
1.38 kB
| EmbeddingGemma-2-Transcribe-Reader — NOTICE | |
| This repository holds reader v2 of EmbeddingGemma 2 Transcribe, licensed under the Apache License, Version 2.0 | |
| (see LICENSE). | |
| - reader.pt: reader weights trained by mlboydaisuke (john-rocky), 2026-10, with CTC on LibriSpeech train-clean-100, | |
| train-clean-360 and train-other-500: | |
| V. Panayotov, G. Chen, D. Povey, S. Khudanpur, "Librispeech: an ASR corpus based on public domain audio books", | |
| ICASSP 2015, https://www.openslr.org/12, licensed under CC BY 4.0 | |
| (https://creativecommons.org/licenses/by/4.0/). The audio is not redistributed here. | |
| - word_table.npy: text embeddings of the vocabulary words computed with EmbeddingGemma 2 | |
| (google/embeddinggemma-2, revision 914f7f89142e33e77833254d9c9b90c3cef7303b, Google DeepMind), licensed under the | |
| Apache License, Version 2.0. Deployments of EmbeddingGemma 2 must adhere to the Gemma Prohibited Use Policy | |
| (https://ai.google.dev/gemma/prohibited_use_policy). | |
| - vocab.txt: the words of the LibriSpeech lexicon (https://www.openslr.org/11, public domain), lower case. | |
| - The reader reads soft tokens produced by the EmbeddingGemma 2 audio encoder, which is not part of this repository. | |
| Code: the reader/train directory of the eg2-transcribe repository (train.py, model.py, make_table.py, eval_wer.py). | |
| Keep this NOTICE together with the LICENSE file when redistributing. | |