Instructions to use classla/swissbert-geo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/swissbert-geo with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("classla/swissbert-geo") model = BertForMultiLabelSequenceClassification.from_pretrained("classla/swissbert-geo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1c4fcf6dd4d81d6626b076b03d0609d1fa52461d9b5e1582bc97fee6f27fdd1
- Size of remote file:
- 440 MB
- SHA256:
- 936a5707e35eb73ea6e35bae5b092f44f2a4ecc46aae5e8ac1232bb2da5f51b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.