Instructions to use yeombora/bert-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeombora/bert-10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("yeombora/bert-10") model = AutoModelForNextSentencePrediction.from_pretrained("yeombora/bert-10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58d56246ad196c9cd4fe0e2172c84c02410312bc97359183bf1f2179c79d15df
- Size of remote file:
- 443 MB
- SHA256:
- 15faa7e39891f133f8d6c7adfeed00d4c302017f53d8dcaf46bb7d3a85b006f8
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