Instructions to use ibm-granite/granite-speech-3.3-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-speech-3.3-8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ibm-granite/granite-speech-3.3-8b")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ibm-granite/granite-speech-3.3-8b") model = AutoModelForSpeechSeq2Seq.from_pretrained("ibm-granite/granite-speech-3.3-8b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af7445e51064e9d69eeb3d1c68dfa9fbbd24720003f21aedbfe6f80dfc55581f
- Size of remote file:
- 1.99 GB
- SHA256:
- fe96bdc622693137d757441ed071255443ba3798700cb67bc0f2965409e5c60e
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