Instructions to use GeorgeIbrahim/AraBERT-MADAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeorgeIbrahim/AraBERT-MADAR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GeorgeIbrahim/AraBERT-MADAR")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GeorgeIbrahim/AraBERT-MADAR") model = AutoModelForSequenceClassification.from_pretrained("GeorgeIbrahim/AraBERT-MADAR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83c94bad0afa5724c9935413735cbc74592fa90d97c07af0d0bb4c751075b215
- Size of remote file:
- 4.86 kB
- SHA256:
- 1031496513ccfb0a8950ecb72d47720c03cfb3dfa6f1d8e02b45cd6a25fc65c6
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