Instructions to use declare-lab/nora-long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use declare-lab/nora-long with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("declare-lab/nora-long") model = AutoModelForMultimodalLM.from_pretrained("declare-lab/nora-long") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab1e2dabb104267bf0836f4e327472a6fe595fad5e7bd23077cf28d47db68f73
- Size of remote file:
- 4.96 GB
- SHA256:
- 39f8d55db361231d18ec9e5572ad049e23fafdee4524e054a3bd412fbc7380b6
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