Instructions to use readerbench/jurBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/jurBERT-large with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("readerbench/jurBERT-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9645e7874f821fce300d34aff3fd88d9617f206cf0099136496d470fbe3ecd34
- Size of remote file:
- 1.35 GB
- SHA256:
- c9ead6753a9bd9dc3c7cacc9f1e88d6c27333231be2babe2d8dc1ffc30b178f9
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