Instructions to use s3h/arabert-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s3h/arabert-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="s3h/arabert-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("s3h/arabert-classification") model = AutoModelForSequenceClassification.from_pretrained("s3h/arabert-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f990bd6dd81742bc74e173fcf92a5757e0c4f4670b83c235e6ff2a3aebdbed8
- Size of remote file:
- 541 MB
- SHA256:
- 3165178c2aab3ab7e44178032c40af0577c992505cc5bc3f518b646b5e33d313
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