Instructions to use superhands/go2-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use superhands/go2-models with Piper:
# 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
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Download README.md from superhands/go2-models: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/superhands/go2-models/resolve/main/README.md
- Command line
-
hf download hf://superhands/go2-models/README.md
-
curl -L -o README.md https://huggingface.co/superhands/go2-models/resolve/main/README.md
4.03 kB
metadata
license: cc-by-sa-4.0
language:
- et
tags:
- text-to-speech
- automatic-speech-recognition
- piper
- onnx
- whisper.cpp
- robotics
Go2 dock models
Estonian speech models that Meridein's Unitree Go2 EDU docks run: the voices (Pocket TTS, Piper) and speech recognition (Whisper). All are derived from public models, converted or packed for the dock's Jetson. A dock downloads them at a pinned commit and checks each file's sha256 before using it.
Files are never overwritten here. A new version gets a new file name, so a release that pins a commit and a sha256 keeps working.
| file | what | size | sha256 |
|---|---|---|---|
pocket-cpp-et.tar.gz |
Pocket TTS, Estonian, as ONNX for PocketTTS.cpp (one folder, pocket-cpp-et/) |
436 064 256 | 1cf3ae8b3eab0724a023a8e5852272e0a870fccbd5fe7bc61a48940a680cd3ca |
ggml-whisper-large-v3-turbo-et-verbatim-2604-q5_0.bin |
Whisper large-v3-turbo, Estonian, q5_0 for whisper.cpp | 574 041 195 | ec401581b6ac1788b4eff8b92c5257a65bf24b50be1e488387fd9760166a1ad7 |
vits-piper-et_EE-news-medium.tar.gz |
Piper's Estonian news voice (four speakers) for sherpa-onnx (one folder, vits-piper-et_EE-news-medium/) |
80 299 072 | 55ef843f59f38a67d6acf5c6b9c62a913516784c6f529ae1c92359f61a45d927 |
pocket-cpp-et.tar.gz: Pocket TTS, Estonian (ONNX)
- Run by PocketTTS.cpp at
e801e7d, with--precision int8. The int8 set is what runs; the fp32 files are kept beside it. - Made from cbentes/pocket-tts-estonian:
the weights and tokenizer at
e8d2fd9cc01ae6e4e505269adcc1d9bdaecbea0f, the config and the six voice clips atb37e49dd65514fb79a05cff2ace696e24af15d66. Exported with pocket-tts 2.1.0 and PocketTTS.cpp'sexport_onnx.pyate801e7d; the beginning-of-sequence before the voice is inmimi_encoder.onnx.export_info.jsoninside records the same. - Licence: CC BY-SA 4.0, as the weights it is made from, which were trained on the TalTech Estonian Speech Dataset 1.0. Credit: cbentes/pocket-tts-estonian and TalTech. Changes: converted to ONNX and quantised to int8. Share-alike: this derivative is under the same licence.
ggml-whisper-large-v3-turbo-et-verbatim-2604-q5_0.bin: Whisper, Estonian
- Run by
whisper-server(whisper.cpp), languageet. - Made from TalTechNLP/whisper-large-v3-turbo-et-verbatim-2604,
its ggml model (
ggml/ggml-model.bin, sha2564e231f931f029850d7ca497efe4223f85c495a27d986d955f9a577ac1cd02edb), quantised toq5_0with whisper.cpp's quantize tool (whisper.cpp60c0be6). The quantised model needs about 1 GB less memory. - Licence: that of TalTechNLP's model, which this file is derived from.
See their model card; credit: TalTech (Tallinn University of Technology).
The repository's
cc-by-sa-4.0tag is the Pocket model's.
vits-piper-et_EE-news-medium.tar.gz: Piper, Estonian
- Run by sherpa-onnx's VITS engine; speakers Albert 0, Kalev 1, Mari 2, Vesta 3.
- Made from rhasspy/piper-voices
at
e7229f7d33a10e145e109b886d661984201ac3c4,et/et_EE/news/medium/: sherpa-onnx's metadata written into the.onnx,tokens.txtfrom the.onnx.json(the five two-letter vowels left out: unused withoutvowel_clusters), and the espeak-ng data from sherpa-onnx'svits-piper-en_US-lessac-mediumpackage (it includes Estonian). Rebuilt the same, byte for byte, bytools/models/piper_et.shin unitree-go2-dev. - Licence: the voice's dataset is CC BY (the Speech Corpus of Estonian
News Sentences, META-SHARE "Available - Unrestricted Use"; see
MODEL_CARDinside). The espeak-ng data is espeak-ng's, GPL-3.0.
Checking a download
sha256sum -c SHA256SUMS