Instructions to use hf-internal-testing/tiny-random-MobileBertForNextSentencePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileBertForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MobileBertForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("hf-internal-testing/tiny-random-MobileBertForNextSentencePrediction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcd244fc1c02e3b27dbab8902f4a5e5f332137df24a810692a5c416bb14a1f5f
- Size of remote file:
- 2.87 MB
- SHA256:
- 82461366b0bddf304e766b0c8f99e4e145fd11ecd2220a3f3fb4a22a9c7e0724
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