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
- Xet hash:
- 376cf0a0cccbb00fe6bd96a803c8a8f15d553260cad183aeb89f8ae8202104b6
- Size of remote file:
- 2.14 GB
- SHA256:
- 3c987fdc29940c49d2498ea5925e8d57f88661af3ef30f73e56e2434ded3e42f
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