Instructions to use aubmindlab/bert-base-arabertv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabertv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabertv2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabertv2") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabertv2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7bac23fd16bea10c8a78b0230cd3c36614eb8f4d5fb7070ef28518f2d4c27ea
- Size of remote file:
- 505 MB
- SHA256:
- 1064dcade586ca787b69b53a48207b9143b77f18294ed9ab40e6ce1ba02365f5
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