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:
- 6ce6d15f2705771ae51e4569769761f15852c619075b60bc2c6aca38c2e84ab0
- Size of remote file:
- 385 kB
- SHA256:
- c599c52a1c17290150381ad30e8829a5000b27bdbecf819f70fa2a0142fc81a0
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