Instructions to use Matir/granite-speech-4.1-2b-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matir/granite-speech-4.1-2b-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Matir/granite-speech-4.1-2b-plus")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Matir/granite-speech-4.1-2b-plus") model = AutoModelForMultimodalLM.from_pretrained("Matir/granite-speech-4.1-2b-plus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 053f719aa9bec3acf5a8fa96da0a3ef7bd9b868a2edff5f10aaef8e9f31e0b5e
- Size of remote file:
- 1.99 GB
- SHA256:
- af45105ba955e3a796f39c3cddc6feae9fb4696b46e99f18355df9d7c8bdb0ba
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