Instructions to use Matankl/arabert-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matankl/arabert-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Matankl/arabert-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Matankl/arabert-classification") model = AutoModelForSequenceClassification.from_pretrained("Matankl/arabert-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20be09d042ae473682b8409b109a44f1245636ef132952e18670bccdb47af89c
- Size of remote file:
- 4.41 kB
- SHA256:
- 2f4da2e2d3a7d086fcc319b85a60fc58358ffaf62dc9264468b7c0ce0b65403a
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