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
File size: 439 Bytes
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license: apache-2.0
library_name: transformers
tags:
- mobile
- on-device
- dispatchai
---
# Whisper-Small-ASR-mobile
📋 **Not Chat** — This is not a chat model.
## Model Details
| Attribute | Value |
|-----------|-------|
| **Base Model** | unknown |
| **Type** | NOT_CHAT |
| **License** | apache-2.0 |
## Usage
This model is designed for embeddings, not chat.
🚀 [dispatchAI](https://huggingface.co/dispatchAI)
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