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:
- 1116b8017f6ad6da9f6554ef23ade74f11f8406f1d17729afa9da1590ef7c2fc
- Size of remote file:
- 11.8 MB
- SHA256:
- 07da2a694acc4f6e63d67da9926817ee35b0354b1e570a6a73d325760a1c2ed2
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