Instructions to use petros/bert-base-cypriot-uncased-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petros/bert-base-cypriot-uncased-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="petros/bert-base-cypriot-uncased-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("petros/bert-base-cypriot-uncased-v1") model = AutoModelForMaskedLM.from_pretrained("petros/bert-base-cypriot-uncased-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# CypriotBERT
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A Cypriot version of BERT pre-trained language model.
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## Pre-training corpora
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The bert-base-cypriot-uncased-v1 pre-training corpora consist of 133 documents sourced from Cypriot TV scripts and writings by Cypriot authors.
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# CypriotBERT
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<p align="center">
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A Cypriot version of BERT pre-trained language model.
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<img src="https://github.com/pedroandreou/Cypriot-LLM/raw/main/cypriot-bert-logo.png" width="300"/>
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</p>
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## Pre-training corpora
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The bert-base-cypriot-uncased-v1 pre-training corpora consist of 133 documents sourced from Cypriot TV scripts and writings by Cypriot authors.
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