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:
- 1a3027d2fed52634053b18aba58d5693a085c0d98d187cfa372794ec41b3969b
- Size of remote file:
- 2.56 GB
- SHA256:
- 7dcf420907d331ad80a89e0d4fb1e5a19fe069cf654e63f15be3b0fbdaab713c
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