Instructions to use Dpn82/offvox-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use Dpn82/offvox-models with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=Dpn82/offvox-models \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from Dpn82/offvox-models: direct link, hf CLI and curl.
- Browser
- Download file 3.67 kB
-
https://huggingface.co/Dpn82/offvox-models/resolve/main/README.md
- Command line
-
hf download hf://Dpn82/offvox-models/README.md
-
curl -L -o README.md https://huggingface.co/Dpn82/offvox-models/resolve/main/README.md
3.67 kB
| license: other | |
| license_name: multiple | |
| license_link: LICENSE | |
| tags: | |
| - sherpa-onnx | |
| - onnx | |
| - whisper | |
| - parakeet | |
| - litert-lm | |
| - mirror | |
| # OffVox — copia de respaldo de modelos | |
| Copia **sin modificar** de los modelos que descarga la app OffVox (diario y | |
| reuniones por voz, 100% local). Existe por si las ubicaciones originales | |
| cambian o desaparecen. **No es un repositorio oficial** de OpenAI, NVIDIA, | |
| Google ni Alibaba, y ninguno de ellos lo respalda. | |
| Los modelos de voz están extraídos tal cual de los paquetes `.tar.bz2` de | |
| sherpa-onnx, para instalarse sin descomprimir. Cada carpeta lleva su | |
| licencia. | |
| | Carpeta | Modelo y origen | Licencia | | |
| |---|---|---| | |
| | `whisper/{tiny,base,small}/` | [OpenAI Whisper](https://github.com/openai/whisper), export int8 de [sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models) (`sherpa-onnx-whisper-*.tar.bz2`) | MIT, © 2022 OpenAI | | |
| | `parakeet-tdt-0.6b-v3/` | [nvidia/parakeet-tdt-0.6b-v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3), export int8 de sherpa-onnx (`sherpa-onnx-nemo-parakeet-tdt-0.6b-v3-int8.tar.bz2`) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), © NVIDIA | | |
| | `titanet-small/` | NVIDIA NeMo TitaNet-small, export ONNX de [sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models) | Apache-2.0, © NVIDIA | | |
| | `gemma-4-e2b-it/` | [litert-community/gemma-4-E2B-it-litert-lm](https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm) @ `6e5c4f1e`, basado en [google/gemma-4-E2B-it](https://huggingface.co/google/gemma-4-E2B-it) | Apache-2.0 ([Gemma 4 license](https://ai.google.dev/gemma/docs/gemma_4_license)), Gemma 4 © Google DeepMind | | |
| | `qwen2.5-1.5b-instruct/` | [litert-community/Qwen2.5-1.5B-Instruct](https://huggingface.co/litert-community/Qwen2.5-1.5B-Instruct) @ `19edb84c`, basado en [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) | Apache-2.0, © 2024 Alibaba Cloud | | |
| ## SHA-256 | |
| Idénticos a los originales (comprobado al subirlos). | |
| ``` | |
| 181938105e0eefd105961417e8da75903eacda102c4fce9ce90f50b97139a63c gemma-4-e2b-it/gemma-4-E2B-it.litertlm | |
| 179e50c43d1a9de79c8a24149a2f9bac6eb5981823f2a2ed88d655b24248db4e parakeet-tdt-0.6b-v3/decoder.int8.onnx | |
| acfc2b4456377e15d04f0243af540b7fe7c992f8d898d751cf134c3a55fd2247 parakeet-tdt-0.6b-v3/encoder.int8.onnx | |
| 3164c13fc2821009440d20fcb5fdc78bff28b4db2f8d0f0b329101719c0948b3 parakeet-tdt-0.6b-v3/joiner.int8.onnx | |
| d58544679ea4bc6ac563d1f545eb7d474bd6cfa467f0a6e2c1dc1c7d37e3c35d parakeet-tdt-0.6b-v3/tokens.txt | |
| faa60663b333290c1496c499828b21d3e3254a788cacd8cce917ce0f761a2dc9 qwen2.5-1.5b-instruct/Qwen2.5-1.5B-Instruct_multi-prefill-seq_q8_ekv4096.litertlm | |
| ad4a1802485d8b34c722d2a9d04249662f2ece5d28a7a039063ca22f515a789e titanet-small/nemo_en_titanet_small.onnx | |
| 9759d217388a01b3a4c7c15533201067b48ae819c4daafc8624e64b9409dc02d whisper/base/decoder.int8.onnx | |
| 0b8fb1304b6109976038efff5ace81720e00386f3ff6b54ee8c75291ca0a1e11 whisper/base/encoder.int8.onnx | |
| b34b360dbb493e781e479794586d661700670d65564001f23024971d1f2fa126 whisper/base/tokens.txt | |
| acad50b5c782696e91b55914cc5ab4f756f1532f76e22aa6fc615f39fb69a8ee whisper/small/decoder.int8.onnx | |
| 4cbe7b22fa9026b843b60a68640c747de05bafb1a11b57edc0e66c232d9f33a9 whisper/small/encoder.int8.onnx | |
| b34b360dbb493e781e479794586d661700670d65564001f23024971d1f2fa126 whisper/small/tokens.txt | |
| d2fece8dd42771f1df975c6c0445770d0c292bf7547c2cae04a6c0cc57540925 whisper/tiny/decoder.int8.onnx | |
| d24fb083ae3b1041fc24e97971d60e280c9342201fbb67b0ab428a8b4a51a434 whisper/tiny/encoder.int8.onnx | |
| b34b360dbb493e781e479794586d661700670d65564001f23024971d1f2fa126 whisper/tiny/tokens.txt | |
| ``` | |