Instructions to use hf-internal-testing/tiny-random-MegatronBertForNextSentencePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegatronBertForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForNextSentencePrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5071239460922c41d0f0c15760211f8768482649fd6cddc76797c0cead2269ab
- Size of remote file:
- 908 kB
- SHA256:
- db104c5ea654834c3e370067f7b196fb9abf3920fbff21becc236892e07ca9d3
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