Automatic Speech Recognition
Transformers
Safetensors
PyTorch
arkasr
text-generation
speech
audio
multilingual
hotword
audio8
custom_code
Eval Results
Instructions to use Audio8/Audio8-ASR-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Audio8/Audio8-ASR-0.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Audio8/Audio8-ASR-0.1B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Audio8/Audio8-ASR-0.1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix license badge to CC BY-NC 4.0
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README.md
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@@ -29,7 +29,7 @@ repository: https://github.com/AutoArk/open-audio-opd
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[](https://github.com/AutoArk/open-audio-opd)
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[](https://arxiv.org/abs/2605.28139)
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[, with the audio
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adapter and projector trained as part of Audio8-ASR. The language-model backbone
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is based on
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[Ref-Pretrain-Qwen-104M](https://huggingface.co/MiniLLM/Ref-Pretrain-Qwen-104M).
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[](https://github.com/AutoArk/open-audio-opd)
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[](https://arxiv.org/abs/2605.28139)
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[](https://creativecommons.org/licenses/by-nc/4.0/)
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</div>
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[Qwen3-ASR-0.6B](https://huggingface.co/Qwen/Qwen3-ASR-0.6B), with the audio
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adapter and projector trained as part of Audio8-ASR. The language-model backbone
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is based on
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[Ref-Pretrain-Qwen-104M](https://huggingface.co/MiniLLM/Ref-Pretrain-Qwen-104M).
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