Instructions to use ibm-granite/granite-4.0-1b-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-4.0-1b-speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ibm-granite/granite-4.0-1b-speech")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ibm-granite/granite-4.0-1b-speech") model = AutoModelForMultimodalLM.from_pretrained("ibm-granite/granite-4.0-1b-speech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README
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README.md
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**Intended Use:**
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The model is intended to be used in enterprise applications that involve processing of speech inputs.
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In particular, the model is well-suited for English, French, German, Spanish, Portuguese and Japanese speech-to-text and speech translations
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to and from English for the same languages plus English-to-Italian and English-to-Mandarin.
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## Generation:
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**Intended Use:**
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| 49 |
The model is intended to be used in enterprise applications that involve processing of speech inputs.
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| 50 |
In particular, the model is well-suited for English, French, German, Spanish, Portuguese and Japanese speech-to-text and speech translations
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to and from English for the same languages, plus English-to-Italian and English-to-Mandarin.
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## Generation:
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