Instructions to use hf-tiny-model-private/tiny-random-NezhaForNextSentencePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-NezhaForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoModelForNextSentencePrediction model = AutoModelForNextSentencePrediction.from_pretrained("hf-tiny-model-private/tiny-random-NezhaForNextSentencePrediction", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0e34e8c824099caeab26a0101d8950034b0b2642f5f917d46b6e06ed3cb0d9f
- Size of remote file:
- 2.94 MB
- SHA256:
- 168cc9c7ed37f6dbcc07c698a97a52d15bf6445704c297481a20fbb7824e3389
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