Instructions to use hf-internal-testing/tiny-random-BertForNextSentencePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BertForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BertForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("hf-internal-testing/tiny-random-BertForNextSentencePrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a65a3e43088bdecef433ee88d3ee561cc8068ceace97d558bbca95f70e784166
- Size of remote file:
- 366 kB
- SHA256:
- 33ffe1a740b2baeca4af8867bfd7db0e07968832c5b3e78ee375c049ece1cce8
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