Instructions to use ibm-granite/granite-speech-3.3-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-speech-3.3-2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ibm-granite/granite-speech-3.3-2b")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ibm-granite/granite-speech-3.3-2b") model = AutoModelForMultimodalLM.from_pretrained("ibm-granite/granite-speech-3.3-2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model support per CrispASR — pure C++ inference with GGUF quantisation (no Python needed)
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1
#10 opened 4 months ago
by
cstr
Is there any plan for publishing the training code?
🤝 1
2
#7 opened about 1 year ago
by
mojtaba-nafez