Instructions to use SinaLab/ArabGlossBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SinaLab/ArabGlossBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SinaLab/ArabGlossBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SinaLab/ArabGlossBERT") model = AutoModelForSequenceClassification.from_pretrained("SinaLab/ArabGlossBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4944f1ce635888b8c1058ae623017d93278fba91bfa7a4a171083bbcf0b2cbb5
- Size of remote file:
- 26.5 MB
- SHA256:
- 991b02ecf2438ffd2b1ba70789bf45443b07905224ff8fa115853b9be4041ac8
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