Instructions to use DimitriosPanagoulias/MemoryBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimitriosPanagoulias/MemoryBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DimitriosPanagoulias/MemoryBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DimitriosPanagoulias/MemoryBERT") model = AutoModelForSequenceClassification.from_pretrained("DimitriosPanagoulias/MemoryBERT") - Notebooks
- Google Colab
- Kaggle
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- **Dimitris Dikeos**, Sleep Research Unit, Department of Psychiatry, National and Kapodistrian University of Athens
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- **Maria Virvou**, Lab of Software Engineering, Department of Informatics, University of Piraeus
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- **George A. Tsihrintzis**, Lab of Pattern Recognition and Machine Learning – Multimedia Systems, Department of Informatics, University of Piraeus
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## Citation
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You can cite either one or both of the following previous related work:
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- **Dimitris Dikeos**, Sleep Research Unit, Department of Psychiatry, National and Kapodistrian University of Athens
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- **Maria Virvou**, Lab of Software Engineering, Department of Informatics, University of Piraeus
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- **George A. Tsihrintzis**, Lab of Pattern Recognition and Machine Learning – Multimedia Systems, Department of Informatics, University of Piraeus
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## Citation
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You can cite either one or both of the following previous related work:
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