Instructions to use ydshieh/tiny-random-BertForNextSentencePrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-BertForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-BertForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("ydshieh/tiny-random-BertForNextSentencePrediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba75779be212f8cfde56f32f356ede89a90933e98b4ab01cff65c7fb5a18fe73
- Size of remote file:
- 384 kB
- SHA256:
- 3130d466cc8a0f1a74ccb375be091c5d26add5e4d1fbb66ea947c4e7005b5c0e
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