Instructions to use ydshieh/tiny-random-BertForNextSentencePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-BertForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-BertForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("ydshieh/tiny-random-BertForNextSentencePrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f98a7fc94d8270399e35f8de8afcb8786fea8b8a383b5945f1002aaa435d97d
- Size of remote file:
- 384 kB
- SHA256:
- dd398c466ac6ebd9f0cd4ff8e5891697b52dbf3070922ffde6137be2c7d6b7d9
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