Automatic Speech Recognition
MLX
Russian
speech-recognition
russian
offline
apple
apple-silicon
ios
ipados
macos
rnnt
conformer
sentencepiece
native-apple
Instructions to use kruatech/gigaam-v3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kruatech/gigaam-v3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gigaam-v3-mlx kruatech/gigaam-v3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Upload folder using huggingface_hub
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README.md
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## Platforms
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| Platform | Target |
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| iOS | iPhone |
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| iPadOS | iPad |
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- Optimized for native Apple MLX runtimes; not intended for server or Python-based inference.
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- Long audio should be processed in chunks by the host runtime.
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- This repository contains **model assets only** — no application code, no Swift SDK source.
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## Platforms
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| Platform | Target | Status |
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| iOS | iPhone | ✅ verified on iPhone 15 Pro Max |
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| iPadOS | iPad | beta / needs verification |
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| macOS | Apple Silicon Mac | ✅ verified |
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- Optimized for native Apple MLX runtimes; not intended for server or Python-based inference.
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993c538b6dceffb7b018c633a7cc8e4034e7ca975b5c27ecc8ecd679fa574d16 manifest.json
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2ff6d955a61003e0d3cb2155be36c14aa3df69c879713f30880ddd07d71fde21 weights.fp16.safetensors
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03641007b1f215a9ca676d967fdd3ee8ee3abee424a9b1957827a9bb62ec58cb README.md
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993c538b6dceffb7b018c633a7cc8e4034e7ca975b5c27ecc8ecd679fa574d16 manifest.json
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2ff6d955a61003e0d3cb2155be36c14aa3df69c879713f30880ddd07d71fde21 weights.fp16.safetensors
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828c12c991019eef952a960661f25a92d6ad279591e2ea466b4aeddf1d20a18a tokenizer.model
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