Instructions to use aubmindlab/bert-base-arabertv02-twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabertv02-twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabertv02-twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabertv02-twitter") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabertv02-twitter") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99829640e696e0aee7659dfe8558943f30eab1a019c542d241f7dd103316fea2
- Size of remote file:
- 541 MB
- SHA256:
- 923804e1baf1b1256807610f188ca3b8d76657264a16770bacea92fd7ed5ba58
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