Instructions to use ibm-granite/granite-speech-4.1-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-speech-4.1-2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ibm-granite/granite-speech-4.1-2b")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ibm-granite/granite-speech-4.1-2b") model = AutoModelForMultimodalLM.from_pretrained("ibm-granite/granite-speech-4.1-2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- AMD Developer Cloud
Update .eval_results/open_asr_leaderboard.yaml
Browse files
.eval_results/open_asr_leaderboard.yaml
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id: hf-audio/open-asr-leaderboard
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task_id: rtfx
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value:
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date: '2026-04-23'
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source:
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url: https://huggingface.co/ibm-granite/granite-speech-4.1-2b # in .eval_results/
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: rtfx
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value: 231.29
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date: '2026-04-23'
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source:
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url: https://huggingface.co/ibm-granite/granite-speech-4.1-2b # in .eval_results/
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