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:
- 94b3328b0a14f60da860dae2b478dcdf4539a7a709005af469f31441b32d150c
- Size of remote file:
- 2.8 kB
- SHA256:
- 67100f50919d55f8f1752ea2321d8dc656ae3f27290d2c2e47b3c76dc3e35afb
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