Instructions to use dbmdz/bert-base-german-europeana-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/bert-base-german-europeana-cased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dbmdz/bert-base-german-europeana-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ee5346390dfff4c8f582a3048ede8a08e51285be572ec2f64d6290c4cf52a9a
- Size of remote file:
- 545 MB
- SHA256:
- a8f2f0bf06f797019a659b0275ad33b2220519283fca248c06420cd651f3f063
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.