Instructions to use hf-tiny-model-private/tiny-random-MobileBertForNextSentencePrediction 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-MobileBertForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForNextSentencePrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d338ee0f54d48d7328a458caf5ad5c593f2b66eed6ff0c4f766c4a23cdc44416
- Size of remote file:
- 3.13 MB
- SHA256:
- 64df3d08a73a279508b8dcbaed05badbb229ad8d805b452d77699e1f31c940ce
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