Instructions to use fatcatmilo/Text2RDF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fatcatmilo/Text2RDF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fatcatmilo/Text2RDF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7dbbbcd09576553cce70b1ff08d754da775fb798364d4f0c7bd2a3c5141f76b
- Size of remote file:
- 92.3 MB
- SHA256:
- fa21d926dcfe954bd8445645d3e82f1ecffa9aea0ca81bd935283fc6e33f8aa2
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