Instructions to use billfass/bert_base_multilingual_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use billfass/bert_base_multilingual_classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("billfass/bert_base_multilingual_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab7204fec9a52363985d93aa22b8d09ece6155f0724bdcb31e35b62b0d0b6a26
- Size of remote file:
- 712 MB
- SHA256:
- e9bba93ea5c8104d9340cbd14fee3850d98a5353bbbdf6ceccce0dbad8c8fc80
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