Instructions to use hf-tiny-model-private/tiny-random-MegatronBertForNextSentencePrediction 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-MegatronBertForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertForNextSentencePrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a3e3f9a988a9726897d4e2341e6057d668a8397f1e64ccf857b9fb9f33c98ba
- Size of remote file:
- 908 kB
- SHA256:
- 69e1158079bd4bcd2501c52f464806cdebe5a50bcb33cdfbd25a1e931c419350
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.