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
- Xet hash:
- c94621b6d29f5d844311e01532a0a43026d2861341d591f466c9efe126d49261
- Size of remote file:
- 2.14 GB
- SHA256:
- cbc16c9712d1174fa77dcfba36b6bfa32961ec6c713d9494fce8d61b657809be
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