Instructions to use dispatchAI/Whisper-Small-ASR-mobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dispatchAI/Whisper-Small-ASR-mobile with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dispatchAI/Whisper-Small-ASR-mobile", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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license: apache-2.0
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# Whisper
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| RTF | 0.3 (3x real-time) |
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| Size | ~460 MB |
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license: apache-2.0
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library_name: transformers
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tags:
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- mobile
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- on-device
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- dispatchai
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# Whisper-Small-ASR-mobile
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📋 **Not a chat model** — this is an embedding or audio model.
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## Model Details
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| Attribute | Value |
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|-----------|-------|
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| **Base Model** | openai/whisper-small |
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| **Type** | Embedding/ASR |
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| **License** | apache-2.0 |
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## About dispatchAI
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[dispatchAI](https://huggingface.co/dispatchAI) — Small. Mobile. Free. UAE-built.
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