Instructions to use hf-internal-testing/tiny-random-NezhaForNextSentencePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NezhaForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoModelForNextSentencePrediction model = AutoModelForNextSentencePrediction.from_pretrained("hf-internal-testing/tiny-random-NezhaForNextSentencePrediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a8f0c994595d985782d34b4993122f8da8947e3f09bfde42f969e86e612f6ec
- Size of remote file:
- 2.94 MB
- SHA256:
- c8c7dddd7dfa3c4b3fd55e47fb0e9af44c8930ad48d442a70ff792736e160908
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