Instructions to use Konstantinos/BERTaTweetGR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Konstantinos/BERTaTweetGR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Konstantinos/BERTaTweetGR")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Konstantinos/BERTaTweetGR") model = AutoModelForMaskedLM.from_pretrained("Konstantinos/BERTaTweetGR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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The training dataset of this model consists of 23 million tweets in Greek, of approximately 5000 users in total, spanning from 2008 to 2018.
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The model has been trained to support the work for the paper
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## Load the pretrained model
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The training dataset of this model consists of 23 million tweets in Greek, of approximately 5000 users in total, spanning from 2008 to 2018.
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The model has been trained to support the work for the paper [Multimodal Hate Speech Detection in Greek Social Media (preprint v1)](https://www.preprints.org/manuscript/202103.0390/v1 ) ]
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## Load the pretrained model
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