Instructions to use hf-tiny-model-private/tiny-random-BertForNextSentencePrediction 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-BertForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BertForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("hf-tiny-model-private/tiny-random-BertForNextSentencePrediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 745dfc9db13c2917b09470a18d929738c135abd4e36dffa49a6552600956bb23
- Size of remote file:
- 385 kB
- SHA256:
- f447c6830b57a94942c31f5efb884aef44aa6fe477491e547011cff48bce56f0
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