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
Commit History
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upload flax model
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allow flax
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Merge branch 'main' of https://huggingface.co/Konstantinos/BERTaTweetGR into main
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loading the model
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readme
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Α lite RoBERTa fill mask model trained mostly in greek tweets
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commit from kostas
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initial commit
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